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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 181–190 of 640 papers

TitleStatusHype
SSG2: A new modelling paradigm for semantic segmentationCode1
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep SupervisionCode0
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image SegmentationCode1
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts—0
Shifting More Attention to Breast Lesion Segmentation in Ultrasound VideosCode1
APIS: A paired CT-MRI dataset for ischemic stroke segmentation challenge—0
Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour SegmentationCode0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
A mirror-Unet architecture for PET/CT lesion segmentationCode0
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