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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 281–290 of 640 papers

TitleStatusHype
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation—0
AutoPETIII: The Tracer Frontier. What Frontier?—0
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions—0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
AutoPET III Challenge: PET/CT Semantic Segmentation—0
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
AutoPET Challenge: Tumour Synthesis for Data Augmentation—0
Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models—0
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers—0
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