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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
Vivim: a Video Vision Mamba for Medical Video SegmentationCode2
H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationCode2
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image SegmentationCode2
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT ImagesCode1
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation DatasetsCode1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed SupervisionCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
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