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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 221–230 of 640 papers

TitleStatusHype
OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and DialogueCode1
Meta-Analysis of Transfer Learning for Segmentation of Brain Lesions—0
DAGrid: Directed Accumulator GridCode1
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
FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke Lesion Segmentation—0
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss FunctionCode1
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