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Automated segmentation of trunk musculature with a deep CNN trained from sparse annotations in radiation therapy patients with metastatic spine disease: an observational study.

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Title: Automated segmentation of trunk musculature with a deep CNN trained from sparse annotations in radiation therapy patients with metastatic spine disease: an observational study.
Authors: Hong V; Technische Universitat Munchen School of Computation Information and Technology, Munich, Germany., Pieper S; Isomics, Inc, Cambridge, MA, United States., James J; Alkalay Spine Biomechanics Laboratory, Beth Israel Deaconess Medical Center, Boston, MA, United States., Anderson DE; Beth Israel Deaconess Medical Center, Cancer Center, Boston, MA, United States., Pinter C; EBATINCA, S.L., Las Palmas de Gran Canaria, Spain., Chang YS; Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, United States., Bulent A; Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, United States., Kozono D; Department of Radiation Oncology, Brigham and Women's Hospital, Boston, MA, United States., Doyle P; Department of Radiation Oncology, Brigham and Women's Hospital, Boston, MA, United States., Caplan S; Rocky Vista University - Colorado Campus, Englewood, MA, United States., Kang H; Department of Radiation Oncology, Brigham and Women's Hospital, Boston, MA, United States., Balboni T; Department of Radiation Oncology, Brigham and Women's Hospital, Boston, MA, United States., Spektor A; Department of Radiation Oncology, Brigham and Women's Hospital, Boston, MA, United States., Keko M; Beth Israel Deaconess Medical Center, Cancer Center, Boston, MA, United States., Kikinis R; Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States., Hackney DB; Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, United States., Alkalay RN; Alkalay Spine Biomechanics Laboratory, Beth Israel Deaconess Medical Center, Boston, MA, United States.
Source: Frontiers in bioengineering and biotechnology [Front Bioeng Biotechnol] 2026 Feb 02; Vol. 13, pp. 1707724. Date of Electronic Publication: 2026 Feb 02 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101632513 Publication Model: eCollection Cited Medium: Print ISSN: 2296-4185 (Print) Linking ISSN: 22964185 NLM ISO Abbreviation: Front Bioeng Biotechnol Subsets: PubMed not MEDLINE
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              Text: 2026 Feb 02
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