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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 121–130 of 640 papers

TitleStatusHype
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion SegmentationCode1
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic ImagesCode1
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image SegmentationCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion SegmentationCode1
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion SegmentationCode1
Complementary Network with Adaptive Receptive Fields for Melanoma SegmentationCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)Code1
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