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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 241–250 of 640 papers

TitleStatusHype
A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs—0
Automated Lesion Segmentation in Whole-Body FDG-PET/CT with Multi-modality Deep Neural Networks—0
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language ModelsCode1
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion SegmentationCode0
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by EnhancingCode1
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion ApproachCode1
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical CuesCode0
Spatially Covariant Lesion Segmentation—0
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT—0
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks—0
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