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Continuous Dice Coefficient for "soft masks" based on this implementation and the Classic Dice between the GT and binarized masks (thresholding at 1/5 = 0.2) because we have 5 segmentation models.
Analysis of subjects with Dice = 0
7T MP2RAGE
isotropic images ( r = 0.7 x 0.7 x 0.7 )
isotropic images resampled to 1mm isotropic
anisotropic images (Same subject) ( r = 0.4 x 0.4 x 4 )
anisotropic images resampled to 1mm isotropic
subject with 3 lesions, 2 were segmented, one was not detected
The text was updated successfully, but these errors were encountered:
Model to test: model_seg_ms_mp2rage
release: r20230210
Preprocessing based on script: #63 (comment)
Related in #63 (comment)
Example of automatic segmentation:
DICE Score values (N=40)
Continuous Dice Coefficient for "soft masks" based on this implementation and the Classic Dice between the GT and binarized masks (thresholding at 1/5 = 0.2) because we have 5 segmentation models.
Analysis of subjects with Dice = 0
7T MP2RAGE
isotropic images resampled to 1mm isotropic
anisotropic images (Same subject) ( r = 0.4 x 0.4 x 4 )
anisotropic images resampled to 1mm isotropic
subject with 3 lesions, 2 were segmented, one was not detected
The text was updated successfully, but these errors were encountered: