Mercurial > repos > imgteam > segmetrics
annotate segmetrics.xml @ 5:ac55e2f4d9e3 draft
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
author | imgteam |
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date | Mon, 13 Nov 2023 22:12:16 +0000 |
parents | 7989264b5780 |
children | 462f49860277 |
rev | line source |
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5
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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1 <tool id="ip_segmetrics" name="Compute image segmentation and object detection performance measures" version="1.4.0-2" profile="20.05"> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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2 <description>with SegMetrics</description> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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3 <edam_operations> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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4 <edam_operation>operation_3443</edam_operation> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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5 </edam_operations> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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6 <requirements> |
4
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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7 <requirement type="package" version="1.4">segmetrics</requirement> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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8 <requirement type="package" version="0.23.4">pandas</requirement> |
5
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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9 </requirements> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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10 <command detect_errors="aggressive"> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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11 <![CDATA[ |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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12 python '$__tool_directory__/run-segmetrics.py' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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13 '$input_seg' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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14 '$input_gt' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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15 ./results.tsv |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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16 $unzip |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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17 $is_seg_unique |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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18 $is_gt_unique |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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19 #for $m in $measures |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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20 #set $kwargs = '' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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21 #set $suffix = '' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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22 #set $is_distance = False |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
imgteam
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23 #if str($m.measure_type.measure_type_selector) == 'ISBIScore': |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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24 #set $kwargs = 'min_ref_size=' + str($m.measure_type.min_ref_size) + ', ' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
imgteam
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25 #elif str($m.measure_type.measure_type_selector) == 'Hausdorff': |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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26 #set $kwargs = 'mode="' + str($m.measure_type.mode) + '", quantile=' + str($m.measure_type.quantile) + ', ' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
imgteam
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27 #set $is_distance = True |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
imgteam
parents:
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28 #elif str($m.measure_type.measure_type_selector) == 'NSD': |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
imgteam
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29 #set $is_distance = True |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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30 #end if |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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31 #if $is_distance: |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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32 #if $m.measure_type.object_based: |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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33 #set $suffix = '.object_based()' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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34 #end if |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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35 #end if |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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36 #if str($m.measure_type.aggregation) != '': |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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37 #set $kwargs = 'aggregation="' + str($m.measure_type.aggregation) + '", ' + $kwargs |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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38 #end if |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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39 'sm.${m.measure_type.measure_type_selector}(${kwargs})${suffix}' |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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40 #end for |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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41 ]]> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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42 </command> |
ac55e2f4d9e3
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/segmetrics/ commit 2286a6c9da88596349ed9d967c51541409c0a7bf
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43 <inputs> |
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0729657d9e4e
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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44 |
0729657d9e4e
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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45 <param name="input_seg" type="data" format="tiff,png,zip" label="Segmented images" /> |
0729657d9e4e
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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46 <param name="input_gt" type="data" format="tiff,png,zip" label="Ground truth images" /> |
0729657d9e4e
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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47 |
0729657d9e4e
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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48 <param name="unzip" type="boolean" checked="false" truevalue="-unzip" falsevalue="" label="Unzip" /> |
0729657d9e4e
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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49 |
0729657d9e4e
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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50 <param name="is_seg_unique" type="boolean" checked="false" truevalue="-seg_unique" falsevalue="" label="Segmentation is uniquely labeled" /> |
0729657d9e4e
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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51 <param name="is_gt_unique" type="boolean" checked="false" truevalue="-gt_unique" falsevalue="" label="Ground truth is uniquely labeled" /> |
0729657d9e4e
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 3b911df716a7b42115c6cd773f666bc90a2bb10f
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52 |
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7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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53 <repeat name="measures" title="Performance measure(s)" min="1"> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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54 <conditional name="measure_type"> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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55 <param name="measure_type_selector" type="select" label="Type"> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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56 <option value="Dice">Region-based / Dice</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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57 <option value="ISBIScore">Region-based / SEG</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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58 <option value="JaccardCoefficient">Region-based / Jaccard Coefficient</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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59 <option value="JaccardIndex">Region-based / Jaccard Index</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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60 <option value="RandIndex">Region-based / Rand Index</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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61 <option value="AdjustedRandIndex">Region-based / Adjusted Rand Index</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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62 <option value="Hausdorff">Contour-based / Hausdorff Distance</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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63 <option value="NSD">Contour-based / Normalized Sum of Distances</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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64 <option value="FalseSplit">Detection-based / Count Falsely Split Objects</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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65 <option value="FalseMerge">Detection-based / Count Falsely Merged Objects</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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66 <option value="FalsePositive">Detection-based / Count Spurious Objects</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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67 <option value="FalseNegative">Detection-based / Count Missing Objects</option> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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68 </param> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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69 <when value="Dice"> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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70 <param name="aggregation" type="hidden" value="" /> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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71 </when> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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72 <when value="ISBIScore"> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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73 <param name="aggregation" type="hidden" value="" /> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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74 <param name="min_ref_size" type="integer" value="1" label="Minimum size of ground truth objects (in pixels)" help="Ground truth objects smaller than this value (in pixels) are skipped. It is reasonable to set this value to 2 so that objects of a single pixel in size are skipped, since such objects obviously correspond to misannotations which distort the performance evaluation. However, for compatibility to the official implementation, the value is set to 1 by default so all ground truth objects are included."/> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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75 </when> |
7989264b5780
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/segmetrics/ commit 075271cee9cb9c2625c04dbefd903cdea6e74724
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76 <when value="JaccardCoefficient"> |
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77 <param name="aggregation" type="hidden" value="" /> |
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78 </when> |
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79 <when value="JaccardIndex"> |
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80 <param name="aggregation" type="hidden" value="" /> |
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81 </when> |
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82 <when value="RandIndex"> |
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83 <param name="aggregation" type="hidden" value="" /> |
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84 </when> |
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85 <when value="AdjustedRandIndex"> |
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86 <param name="aggregation" type="hidden" value="" /> |
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87 </when> |
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88 <when value="Hausdorff"> |
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89 <param name="aggregation" type="hidden" value="" /> |
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90 <param name="mode" type="select" label="Direction"> |
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91 <option value="a2e">Actual (segmentation result) to expected (ground truth)</option> |
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92 <option value="e2a">Expected (ground truth) to actual (segmentation result)</option> |
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93 <option value="sym" selected="true">Symmetric (maximum of the two)</option> |
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94 </param> |
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95 <param name="quantile" type="float" min="0" max="1" value="1" label="Quantile" help="Must be between 0 and 1. If set to 1, then the implementaiton corresponds to the Hausdorff distance described by Bamford (2003). Any other value corresponds to the quantile method described by Rucklidge (1997)." /> |
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96 <param name="object_based" type="boolean" label="Object-based" help="Object correspondances between the segmented and the ground truth objects are established on a many-to-many basis, so that the resulting distances are minimal." /> |
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97 </when> |
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98 <when value="NSD"> |
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99 <param name="aggregation" type="hidden" value="" /> |
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100 <param name="object_based" type="boolean" label="Object-based" help="Object correspondances between the segmented and the ground truth objects are established on a many-to-many basis, so that the resulting distances are minimal." /> |
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101 </when> |
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102 <when value="FalseSplit"> |
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103 <param name="aggregation" type="select" label="Aggregation"> |
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104 <option value="mean" selected="true">Mean per Image</option> |
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105 <option value="sum">Sum over all images</option> |
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106 <option value="obj-mean">Proportion w.r.t. ground truth objects</option> |
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107 </param> |
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108 </when> |
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109 <when value="FalseMerge"> |
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110 <param name="aggregation" type="select" label="Aggregation"> |
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111 <option value="mean" selected="true">Mean per Image</option> |
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112 <option value="sum">Sum over all images</option> |
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113 <option value="obj-mean">Proportion w.r.t. ground truth objects</option> |
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114 </param> |
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115 </when> |
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116 <when value="FalsePositive"> |
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117 <param name="aggregation" type="select" label="Aggregation"> |
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118 <option value="mean" selected="true">Mean per Image</option> |
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119 <option value="sum">Sum over all images</option> |
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120 <option value="obj-mean">Proportion w.r.t. ground truth objects</option> |
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121 </param> |
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122 </when> |
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123 <when value="FalseNegative"> |
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124 <param name="aggregation" type="select" label="Aggregation"> |
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125 <option value="mean" selected="true">Mean per Image</option> |
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126 <option value="sum">Sum over all images</option> |
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127 <option value="obj-mean">Proportion w.r.t. ground truth objects</option> |
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128 </param> |
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129 </when> |
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130 </conditional> |
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131 </repeat> |
0
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132 </inputs> |
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133 <outputs> |
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134 <data format="tsv" name="results" from_work_dir="results.tsv" /> |
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135 </outputs> |
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136 <tests> |
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137 <test> |
4
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138 <param name="input_seg" value="input1.png"/> |
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139 <param name="input_gt" value="input2.png"/> |
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140 <output name="results" value="results1.tsv" ftype="tsv" compare="diff"/> |
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141 <param name="is_seg_unique" value="true"/> |
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142 <param name="is_gt_unique" value="true"/> |
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143 <repeat name="measures"> |
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144 <conditional name="measure_type"> |
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145 <param name="measure_type_selector" value="Dice" /> |
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146 </conditional> |
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147 </repeat> |
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148 <repeat name="measures"> |
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149 <conditional name="measure_type"> |
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150 <param name="measure_type_selector" value="ISBIScore" /> |
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151 </conditional> |
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152 </repeat> |
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153 <repeat name="measures"> |
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154 <conditional name="measure_type"> |
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155 <param name="measure_type_selector" value="JaccardCoefficient" /> |
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156 </conditional> |
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157 </repeat> |
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158 <repeat name="measures"> |
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159 <conditional name="measure_type"> |
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160 <param name="measure_type_selector" value="JaccardIndex" /> |
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161 </conditional> |
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162 </repeat> |
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163 <repeat name="measures"> |
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164 <conditional name="measure_type"> |
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165 <param name="measure_type_selector" value="RandIndex" /> |
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166 </conditional> |
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167 </repeat> |
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168 <repeat name="measures"> |
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169 <conditional name="measure_type"> |
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170 <param name="measure_type_selector" value="AdjustedRandIndex" /> |
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171 </conditional> |
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172 </repeat> |
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173 <repeat name="measures"> |
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174 <conditional name="measure_type"> |
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175 <param name="measure_type_selector" value="Hausdorff" /> |
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176 </conditional> |
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177 </repeat> |
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178 <repeat name="measures"> |
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179 <conditional name="measure_type"> |
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180 <param name="measure_type_selector" value="Hausdorff" /> |
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181 <param name="quantile" value="0.9" /> |
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182 </conditional> |
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183 </repeat> |
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184 <repeat name="measures"> |
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185 <conditional name="measure_type"> |
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186 <param name="measure_type_selector" value="Hausdorff" /> |
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187 <param name="object_based" value="true" /> |
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188 </conditional> |
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189 </repeat> |
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190 <repeat name="measures"> |
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191 <conditional name="measure_type"> |
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192 <param name="measure_type_selector" value="NSD" /> |
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193 </conditional> |
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194 </repeat> |
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195 <repeat name="measures"> |
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196 <conditional name="measure_type"> |
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197 <param name="measure_type_selector" value="NSD" /> |
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198 <param name="object_based" value="true" /> |
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199 </conditional> |
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200 </repeat> |
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201 <repeat name="measures"> |
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202 <conditional name="measure_type"> |
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203 <param name="measure_type_selector" value="FalseSplit" /> |
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204 </conditional> |
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205 </repeat> |
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206 <repeat name="measures"> |
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207 <conditional name="measure_type"> |
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208 <param name="measure_type_selector" value="FalseMerge" /> |
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209 </conditional> |
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210 </repeat> |
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211 <repeat name="measures"> |
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212 <conditional name="measure_type"> |
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213 <param name="measure_type_selector" value="FalsePositive" /> |
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214 </conditional> |
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215 </repeat> |
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216 <repeat name="measures"> |
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217 <conditional name="measure_type"> |
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218 <param name="measure_type_selector" value="FalseNegative" /> |
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219 </conditional> |
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220 </repeat> |
0
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221 </test> |
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222 <test> |
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223 <param name="input_seg" value="input1.zip"/> |
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224 <param name="input_gt" value="input2.zip"/> |
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225 <output name="results" value="results2.tsv" ftype="tsv" compare="diff"/> |
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226 <param name="is_seg_unique" value="true"/> |
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227 <param name="is_gt_unique" value="true"/> |
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228 <param name="unzip" value="true"/> |
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229 <repeat name="measures"> |
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230 <conditional name="measure_type"> |
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231 <param name="measure_type_selector" value="Dice" /> |
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232 </conditional> |
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233 </repeat> |
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234 <repeat name="measures"> |
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235 <conditional name="measure_type"> |
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236 <param name="measure_type_selector" value="ISBIScore" /> |
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237 </conditional> |
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238 </repeat> |
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239 <repeat name="measures"> |
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240 <conditional name="measure_type"> |
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241 <param name="measure_type_selector" value="JaccardCoefficient" /> |
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242 </conditional> |
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243 </repeat> |
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244 <repeat name="measures"> |
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245 <conditional name="measure_type"> |
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246 <param name="measure_type_selector" value="JaccardIndex" /> |
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247 </conditional> |
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248 </repeat> |
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249 <repeat name="measures"> |
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250 <conditional name="measure_type"> |
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251 <param name="measure_type_selector" value="RandIndex" /> |
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252 </conditional> |
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253 </repeat> |
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254 <repeat name="measures"> |
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255 <conditional name="measure_type"> |
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256 <param name="measure_type_selector" value="AdjustedRandIndex" /> |
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257 </conditional> |
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258 </repeat> |
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259 <repeat name="measures"> |
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260 <conditional name="measure_type"> |
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261 <param name="measure_type_selector" value="Hausdorff" /> |
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262 </conditional> |
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263 </repeat> |
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264 <repeat name="measures"> |
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265 <conditional name="measure_type"> |
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266 <param name="measure_type_selector" value="Hausdorff" /> |
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267 <param name="quantile" value="0.9" /> |
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268 </conditional> |
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269 </repeat> |
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270 <repeat name="measures"> |
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271 <conditional name="measure_type"> |
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272 <param name="measure_type_selector" value="Hausdorff" /> |
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273 <param name="object_based" value="true" /> |
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274 </conditional> |
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275 </repeat> |
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276 <repeat name="measures"> |
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277 <conditional name="measure_type"> |
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278 <param name="measure_type_selector" value="NSD" /> |
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279 </conditional> |
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280 </repeat> |
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281 <repeat name="measures"> |
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282 <conditional name="measure_type"> |
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283 <param name="measure_type_selector" value="NSD" /> |
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284 <param name="object_based" value="true" /> |
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285 </conditional> |
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286 </repeat> |
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287 <repeat name="measures"> |
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288 <conditional name="measure_type"> |
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289 <param name="measure_type_selector" value="FalseSplit" /> |
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290 </conditional> |
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291 </repeat> |
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292 <repeat name="measures"> |
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293 <conditional name="measure_type"> |
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294 <param name="measure_type_selector" value="FalseMerge" /> |
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295 </conditional> |
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296 </repeat> |
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297 <repeat name="measures"> |
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298 <conditional name="measure_type"> |
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299 <param name="measure_type_selector" value="FalsePositive" /> |
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300 </conditional> |
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301 </repeat> |
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302 <repeat name="measures"> |
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303 <conditional name="measure_type"> |
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304 <param name="measure_type_selector" value="FalseNegative" /> |
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305 </conditional> |
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306 </repeat> |
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307 </test> |
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308 </tests> |
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309 <help> |
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310 This tool permits the computation of image segmentation and object detection performance measures for 2-D image data. |
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311 |
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312 You can either use a pair of individual input images (a segmented and a ground truth image), or a pair of ZIP archives which contain the segmented and the correspondiong ground truth images. When using a pair of individual images, remember to turn off the "Unzip" option. When using ZIP archives, turn it on instead and make sure that the directory structure is the same for the segmented and the ground truth images. Correspondences are estbalished based on the file names, which should be *identical* for a pair of corresponding images. |
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313 |
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314 If all objects within your segmented images are *uniquely* labeled, you can turn on the "Segmentation is uniquely labeled" switch to speed up the computations. Leave it off otherwise, or if you are unsure. The same accounts for the "Ground truth is uniquely labeled" switch and your ground turth image data. |
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315 </help> |
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316 <citations> |
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317 <citation type="doi">10.1093/bioinformatics/btu080</citation> |
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318 <citation type="doi">10.1109/ISBI.2009.5193098</citation> |
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319 <citation type="doi">10.1109/ICIP.2003.1246871</citation> |
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320 <citation type="doi">10.1023/A:1007975324482</citation> |
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321 </citations> |
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322 </tool> |