Deep Learning Technique for Automatic Segmentation of Proximal Hip Musculoskeletal Tissues From CT Scan Images: A MrOS Study.
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| Title: | Deep Learning Technique for Automatic Segmentation of Proximal Hip Musculoskeletal Tissues From CT Scan Images: A MrOS Study. |
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| Authors: | Imani M; Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia., Buratto J; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia., Dao T; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia., Meijering E; School of Computer Science and Engineering, The University of New South Wales, Kensington, New South Wales, Australia., Vogrin S; Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia., Kwok TCY; Jockey Club Centre for Osteoporosis Care and Control, School of Public Health, The Chinese University of Hong Kong, Shatin, Hong Kong., Orwoll ES; Division of Endocrinology, Diabetes and Clinical Nutrition, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA., Cawthon PM; Research Institute, California Pacific Medical Center, San Francisco, California, USA.; School of Medicine, University of California San Francisco, San Francisco, California, USA., Duque G; Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia.; Bone, Muscle & Geroscience Group, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.; Dr. Joseph Kaufmann Chair in Geriatric Medicine, Department of Medicine, McGill University, Montreal, Quebec, Canada. |
| Source: | Journal of cachexia, sarcopenia and muscle [J Cachexia Sarcopenia Muscle] 2025 Apr; Vol. 16 (2), pp. e13728. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders Country of Publication: Germany NLM ID: 101552883 Publication Model: Print Cited Medium: Internet ISSN: 2190-6009 (Electronic) Linking ISSN: 21905991 NLM ISO Abbreviation: J Cachexia Sarcopenia Muscle Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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