SOTAVerified

Lesion Segmentation

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 171–180 of 640 papers

TitleStatusHype
Image Translation for Medical Image Generation -- Ischemic Stroke LesionsCode0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
Image Segmentation: Inducing graph-based learningCode0
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approachCode0
Cut-Paste Consistency Learning for Semi-Supervised Lesion SegmentationCode0
An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical ImagesCode0
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT VolumesCode0
Automated Lesion Segmentation in Whole-Body PET/CT in a multitracer settingCode0
How We Won the ISLES'24 Challenge by PreprocessingCode0
Hybrid Cascaded Neural Network for Liver Lesion SegmentationCode0
Show:102550
← PrevPage 18 of 64Next →

No leaderboard results yet.