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 21–30 of 640 papers

TitleStatusHype
A Data-Efficient Pan-Tumor Foundation Model for Oncology CT InterpretationCode1
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound ImagesCode1
ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion SegmentationCode1
Boundary-aware Transformers for Skin Lesion SegmentationCode1
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality ExpertsCode1
Applications of Deep Learning in Fundus Images: A ReviewCode1
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
Show:102550
← PrevPage 3 of 64Next →

No leaderboard results yet.