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

Background and purposeDeep learning algorithms for segmentation of multiple sclerosis (MS) plaques generally require training on large datasets. This manuscript evaluates the effect of transfer learning from segmentation of another pathology to facilitate use of smaller MS-specific training datasets...

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Bibliographic Details

Published in:	Frontiers in Neuroscience
Main Authors:	Stephen G. Wahlig, Pierre Nedelec, David A. Weiss, Jeffrey D. Rudie, Leo P. Sugrue, Andreas M. Rauschecker
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-10-01
Subjects:	multiple sclerosis demyelination deep learning transfer learning segmentation
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2023.1188336/full