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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 1–10 of 640 papers

TitleStatusHype
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image SegmentationCode6
U-Net: Convolutional Networks for Biomedical Image SegmentationCode3
UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion SegmentationCode3
SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico ExperimentsCode2
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image SegmentationCode2
SkinMamba: A Precision Skin Lesion Segmentation Architecture with Cross-Scale Global State Modeling and Frequency Boundary GuidanceCode2
Longitudinal Segmentation of MS Lesions via Temporal Difference WeightingCode2
H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationCode2
A Multimodal Vision Foundation Model for Clinical DermatologyCode2
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentationCode2
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