Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches-an international, multi-center comparative study.

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Title: Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches-an international, multi-center comparative study.
Authors: Fervers P; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany., Fervers F; Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Karlsruhe, Germany., Jaiswal A; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany., Rinneburger M; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany., Weisthoff M; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany., Pollmann-Schweckhorst P; Chair in Marketing Science and Analytics, University of Cologne, Cologne, Germany., Kottlors J; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany., Carolus H; Philips CT Clinical Science, Philips Healthcare, Hamburg, Germany., Lennartz S; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany., Maintz D; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany., Shahzad R; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany.; Philips GmbH Innovative Technologies, Philips Healthcare, Aachen, Germany., Persigehl T; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany.
Source: Quantitative imaging in medicine and surgery [Quant Imaging Med Surg] 2022 Nov; Vol. 12 (11), pp. 5156-5170.
Publication Type: Journal Article
Journal Info: Publisher: AME Pub Country of Publication: China NLM ID: 101577942 Publication Model: Print Cited Medium: Print ISSN: 2223-4292 (Print) Linking ISSN: 22234306 NLM ISO Abbreviation: Quant Imaging Med Surg Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2223-4292
DOI:10.21037/qims-22-175