Developing a three-dimensional convolutional neural network for automated full-volume multi-tissue segmentation of the shoulder with comparisons to Goutallier classification and partial volume muscle quality analysis.

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Title: Developing a three-dimensional convolutional neural network for automated full-volume multi-tissue segmentation of the shoulder with comparisons to Goutallier classification and partial volume muscle quality analysis.
Authors: Kim B; The Kolling Institute, The University of Sydney, Faculty of Medicine and Health & The Northern Sydney Local Health District, St Leonards, NSW, Australia; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia. Electronic address: brian.kim@sydney.edu.au., Gandomkar Z; Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia., McKay MJ; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia., Seitz AL; Department of Physical Therapy and Human Movement Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA., Wesselink EO; Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA., Cass B; Sydney Shoulder Research Institute, Sydney, NSW, Australia., Young AA; Sydney Shoulder Research Institute, Sydney, NSW, Australia., Linklater JM; Castlereagh Imaging, Sydney, NSW, Australia., Szajer J; Castlereagh Imaging, Sydney, NSW, Australia., Subbiah K; Sydney Shoulder Research Institute, Sydney, NSW, Australia., Elliott JM; The Kolling Institute, The University of Sydney, Faculty of Medicine and Health & The Northern Sydney Local Health District, St Leonards, NSW, Australia; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia., Weber KA 2nd; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Source: Journal of shoulder and elbow surgery [J Shoulder Elbow Surg] 2025 Sep; Vol. 34 (9), pp. 2224-2238. Date of Electronic Publication: 2025 Feb 05.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Mosby Country of Publication: United States NLM ID: 9206499 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-6500 (Electronic) Linking ISSN: 10582746 NLM ISO Abbreviation: J Shoulder Elbow Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-6500
DOI:10.1016/j.jse.2024.12.033