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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 191–200 of 640 papers

TitleStatusHype
A mirror-Unet architecture for PET/CT lesion segmentationCode0
Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection—0
A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT ImagesCode0
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative LearningCode0
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications—0
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
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture DetectionCode1
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