Difference between revisions of "MSChallenge/evaluation"

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{{h1|The 2015 Longitudinal Multiple Sclerosis Lesion Segmentation Challenge: Evaluation}}
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{{h2|The 2015 Longitudinal Multiple Sclerosis Lesion Segmentation Challenge: Evaluation}}
 
Here are some [[MSChallenge/guidelines|initial guidelines]].
 
Here are some [[MSChallenge/guidelines|initial guidelines]].
  
 
The evaluation software can be downloaded as {{iacl|~aaron/isbi2015/challengemetrics_matlab_only.zip|Matlab Dot M files}} (339KB) and as a compiled {{iacl|~aaron/isbi2015/challengemetrics.zip|Matlab executable}} (46MB). The evaluation metric includes: Dice Overlap, Jaccard Overlap, PPV (positive predictive value), TPR (sensitivity, voxel based), LTPR (lesion TPR based on lesion count), LFPR (lesion FPR based on lesion count),  
 
The evaluation software can be downloaded as {{iacl|~aaron/isbi2015/challengemetrics_matlab_only.zip|Matlab Dot M files}} (339KB) and as a compiled {{iacl|~aaron/isbi2015/challengemetrics.zip|Matlab executable}} (46MB). The evaluation metric includes: Dice Overlap, Jaccard Overlap, PPV (positive predictive value), TPR (sensitivity, voxel based), LTPR (lesion TPR based on lesion count), LFPR (lesion FPR based on lesion count),  
 
Volume Difference, Average Symmetric Surface Difference, Segmentation Volume, Volume Change Correlation, New lesion detection TPR, and New lesion detection FPR.
 
Volume Difference, Average Symmetric Surface Difference, Segmentation Volume, Volume Change Correlation, New lesion detection TPR, and New lesion detection FPR.

Revision as of 17:59, 18 November 2016

The 2015 Longitudinal Multiple Sclerosis Lesion Segmentation Challenge: Evaluation

Here are some initial guidelines.

The evaluation software can be downloaded as Matlab Dot M files (339KB) and as a compiled Matlab executable (46MB). The evaluation metric includes: Dice Overlap, Jaccard Overlap, PPV (positive predictive value), TPR (sensitivity, voxel based), LTPR (lesion TPR based on lesion count), LFPR (lesion FPR based on lesion count), Volume Difference, Average Symmetric Surface Difference, Segmentation Volume, Volume Change Correlation, New lesion detection TPR, and New lesion detection FPR.