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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 291–300 of 640 papers

TitleStatusHype
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications—0
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative LearningCode0
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel GraphsCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations—0
Channel Attention Separable Convolution Network for Skin Lesion Segmentation—0
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training—0
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases—0
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation—0
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation—0
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