Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison.

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Bibliographic Details
Title: Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison.
Authors: de Vente C; Radboud University Medical Center, Donders Institute for Brain, Cognition and BehaviourDepartment of Medical Imaging6525GANijmegenThe Netherlands.; Informatics Institute, Faculty of ScienceUniversity of Amsterdam 1012 WX Amsterdam The Netherlands., Boulogne LH; Radboud University Medical Center, Radboud Institute for Health SciencesDepartment of Medical Imaging 6525 GA Nijmegen The Netherlands., Venkadesh KV; Radboud University Medical Center, Radboud Institute for Health SciencesDepartment of Medical Imaging 6525 GA Nijmegen The Netherlands., Sital C; Radboud University Medical Center, Radboud Institute for Health SciencesDepartment of Medical Imaging 6525 GA Nijmegen The Netherlands., Lessmann N; Radboud University Medical Center, Radboud Institute for Health SciencesDepartment of Medical Imaging 6525 GA Nijmegen The Netherlands., Jacobs C; Radboud University Medical Center, Radboud Institute for Health SciencesDepartment of Medical Imaging 6525 GA Nijmegen The Netherlands., Sanchez CI; Informatics Institute, Faculty of ScienceUniversity of Amsterdam 1012 WX Amsterdam The Netherlands., van Ginneken B; Radboud University Medical Center, Radboud Institute for Health SciencesDepartment of Medical Imaging 6525 GA Nijmegen The Netherlands.
Source: IEEE transactions on artificial intelligence [IEEE Trans Artif Intell] 2021 Oct 08; Vol. 3 (2), pp. 129-138. Date of Electronic Publication: 2021 Oct 08 (Print Publication: 2022).
Publication Type: Journal Article
Journal Info: Publisher: Institute of Electrical and Electronics Engineers, Inc Country of Publication: United States NLM ID: 9918351278206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2691-4581 (Electronic) Linking ISSN: 26914581 NLM ISO Abbreviation: IEEE Trans Artif Intell Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2691-4581
DOI:10.1109/TAI.2021.3115093