Search Results for author:
Found 2 papers, 1 papers with code
RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation
RatLesNetv2 obtained similar to higher Dice coefficient values than the other ConvNets and it produced much more realistic and compact segmentations with notably fewer holes and lower Hausdorff distance.
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks
Several automatic methods have been developed for different human brain MRI segmentation, but little research has targeted automatic rodent lesion segmentation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
