Deep learning-based quantification of abdominal fat on magnetic resonance images.
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| Title: | Deep learning-based quantification of abdominal fat on magnetic resonance images. |
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| Authors: | Grainger AT; Departments of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, Virginia, United States of America., Tustison NJ; Radiology & Medical Imaging, University of Virginia, Charlottesville, Virginia, United States of America., Qing K; Radiology & Medical Imaging, University of Virginia, Charlottesville, Virginia, United States of America., Roy R; Radiology & Medical Imaging, University of Virginia, Charlottesville, Virginia, United States of America., Berr SS; Radiology & Medical Imaging, University of Virginia, Charlottesville, Virginia, United States of America., Shi W; Departments of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, Virginia, United States of America.; Radiology & Medical Imaging, University of Virginia, Charlottesville, Virginia, United States of America. |
| Source: | PloS one [PLoS One] 2018 Sep 20; Vol. 13 (9), pp. e0204071. Date of Electronic Publication: 2018 Sep 20 (Print Publication: 2018). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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