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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 481–490 of 640 papers

TitleStatusHype
LCAUnet: A skin lesion segmentation network with enhanced edge and body fusion—0
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets—0
Learning Mutually Local-global U-nets For High-resolution Retinal Lesion Segmentation in Fundus Images—0
Learning to segment anatomy and lesions from disparately labeled sources in brain MRI—0
Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer—0
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images—0
Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units—0
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection—0
Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Images; a Contribution to AutoPET 2024 Challenge—0
Lesion segmentation using U-Net network—0
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