3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies.

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作者： Stephen G,Wahlig ^[1] ; Pierre,Nedelec ^[1] ; David A,Weiss ^[1] ; Jeffrey D,Rudie ^[1] ; Leo P,Sugrue ^[2] ; Andreas M,Rauschecker ^[1]

作者单位： Center for Intelligent Imaging (ci2), Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States. ^[1] Department of Radiology, University of California, San Diego, San Diego, CA, United States. ^[2]

关键词 deep learning demyelination multiple sclerosis segmentation transfer learning

DOI 10.3389/fnins.2023.1188336

PMID 37965219

发布时间 2023-11-16

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Frontiers in neuroscience

2023年17卷

1188336页

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3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies.

Frontiers in neuroscience

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Frontiers in neuroscience

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3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies.

Frontiers in neuroscience

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Frontiers in neuroscience

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