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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 141–150 of 640 papers

TitleStatusHype
Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for the Diagnosis of Skin LesionsCode0
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous MalformationsCode0
Instance-level quantitative saliency in multiple sclerosis lesion segmentationCode0
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CTCode0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approachCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT ImagesCode0
Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour SegmentationCode0
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