Open AccessGeneralizing deep whole-brain segmentation for post-contrast MRI with transfer learning
Author(s) -
Camilo Bermudez,
Samuel W. Remedios,
Karthik Ramadass,
Maureen McHugo,
Stephan Heckers,
Yuankai Huo,
Bennett A. Landman
Publication year - 2020
Publication title -
journal of medical imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 29
eISSN - 2329-4310
pISSN - 2329-4302
DOI - 10.1117/1.jmi.7.6.064004
Subject(s) - generalizability theory , segmentation , reproducibility , artificial intelligence , contrast (vision) , context (archaeology) , pipeline (software) , medicine , pattern recognition (psychology) , artificial neural network , neuroimaging , deep learning , magnetic resonance imaging , transfer of learning , computer science , radiology , mathematics , statistics , paleontology , psychiatry , biology , programming language
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