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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 301–310 of 640 papers

TitleStatusHype
Large-kernel Attention for Efficient and Robust Brain Lesion SegmentationCode0
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation—0
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images—0
A hybrid approach for improving U-Net variants in medical image segmentation—0
Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT—0
Meta-Analysis of Transfer Learning for Segmentation of Brain Lesions—0
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images—0
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity—0
Generative Adversarial Networks based Skin Lesion SegmentationCode0
LCAUnet: A skin lesion segmentation network with enhanced edge and body fusion—0
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