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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 581–590 of 640 papers

TitleStatusHype
Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Images; a Contribution to AutoPET 2024 Challenge—0
Lesion segmentation using U-Net network—0
LesionSeg: Semantic segmentation of skin lesions using Deep Convolutional Neural Network—0
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation—0
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation—0
Liver lesion segmentation informed by joint liver segmentation—0
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI—0
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging—0
LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation—0
Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis—0
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