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 281–290 of 640 papers

TitleStatusHype
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep SupervisionCode0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts—0
APIS: A paired CT-MRI dataset for ischemic stroke segmentation challenge—0
Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour SegmentationCode0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
A mirror-Unet architecture for PET/CT lesion segmentationCode0
USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentation—0
Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection—0
A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT ImagesCode0
Show:102550
← PrevPage 29 of 64Next →

No leaderboard results yet.