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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 81–90 of 640 papers

TitleStatusHype
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion SegmentationCode1
Boundary-aware Transformers for Skin Lesion SegmentationCode1
Boundary loss for highly unbalanced segmentationCode1
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound ImagesCode1
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language ModelsCode1
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
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