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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 601–610 of 640 papers

TitleStatusHype
Acute and sub-acute stroke lesion segmentation from multimodal MRICode0
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networksCode0
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical CuesCode0
Supervised Saliency Map Driven Segmentation of the Lesions in Dermoscopic ImagesCode0
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networksCode0
UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNNCode0
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel GraphsCode0
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural NetworksCode0
A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT ImagesCode0
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