Automated major psoas muscle volumetry in computed tomography using machine learning algorithms.

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Title: Automated major psoas muscle volumetry in computed tomography using machine learning algorithms.
Authors: Duong F; Institute of Imaging and Computer Vision, RWTH Aachen, Aachen, Germany., Gadermayr M; Institute of Imaging and Computer Vision, RWTH Aachen, Aachen, Germany., Merhof D; Institute of Imaging and Computer Vision, RWTH Aachen, Aachen, Germany., Kuhl C; Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany., Bruners P; Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany., Loosen SH; Medical Faculty of Heinrich Heine University Düsseldorf, Clinic for Gastroenterology, Hepatology and Infectious Diseases, University Hospital Düsseldorf, Düsseldorf, Germany., Roderburg C; Medical Faculty of Heinrich Heine University Düsseldorf, Clinic for Gastroenterology, Hepatology and Infectious Diseases, University Hospital Düsseldorf, Düsseldorf, Germany., Truhn D; Institute of Imaging and Computer Vision, RWTH Aachen, Aachen, Germany.; Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany., Schulze-Hagen MF; Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany. mschulze@ukaachen.de.
Source: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2022 Feb; Vol. 17 (2), pp. 355-361. Date of Electronic Publication: 2021 Dec 20.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101499225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1861-6429 (Electronic) Linking ISSN: 18616410 NLM ISO Abbreviation: Int J Comput Assist Radiol Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1861-6429
DOI:10.1007/s11548-021-02539-2