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 541–550 of 640 papers

TitleStatusHype
IARS SegNet: Interpretable Attention Residual Skip connection SegNet for melanoma segmentation—0
ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation -- Methods and Results—0
II-FCN for skin lesion analysis towards melanoma detection—0
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams—0
Improved Inference via Deep Input Transfer—0
Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data—0
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation—0
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks—0
Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge—0
Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation—0
Show:102550
← PrevPage 55 of 64Next →

No leaderboard results yet.