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Lesion Segmentation

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

( Image credit: D-UNet )

Papers

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Showing 11–20 of 640 papers

TitleStatusHype
OmniMamba4D: Spatio-temporal Mamba for longitudinal CT lesion segmentation—0
A Lightweight U-Net Model for Accurate Skin Lesion Segmentation—0
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object SegmentationCode0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation—0
STPNet: Scale-aware Text Prompt Network for Medical Image SegmentationCode1
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object Segmentation with Zero-Shot MethodCode0
Learning from spatially inhomogenous data: resolution-adaptive convolutions for multiple sclerosis lesion segmentationCode1
Modality-Independent Brain Lesion Segmentation with Privacy-aware Continual LearningCode0
ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion SegmentationCode1
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