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 471–480 of 640 papers

TitleStatusHype
Cross-Domain Federated Learning in Medical Imaging—0
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications—0
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement—0
CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation—0
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis—0
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images—0
Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation—0
Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks—0
Deep attention-guided fusion network for lesion segmentation—0
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation—0
Show:102550
← PrevPage 48 of 64Next →

No leaderboard results yet.