Development and validation of bone-suppressed deep learning classification of COVID-19 presentation in chest radiographs.

Saved in:
Bibliographic Details
Title: Development and validation of bone-suppressed deep learning classification of COVID-19 presentation in chest radiographs.
Authors: Lam NFD; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China., Sun H; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China., Song L; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China., Yang D; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China., Zhi S; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China., Ren G; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China., Chou PH; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China., Wan SBN; Department of Radiology, Pamela Youde Nethersole Eastern Hospital, Hong Kong, China., Wong MFE; Department of Radiology, Pamela Youde Nethersole Eastern Hospital, Hong Kong, China., Chan KK; Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong, China., Tsang HCH; Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong, China., Kong FS; Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China., Wáng YXJ; Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China., Qin J; School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China., Chan LWC; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China., Ying M; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China., Cai J; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
Source: Quantitative imaging in medicine and surgery [Quant Imaging Med Surg] 2022 Jul; Vol. 12 (7), pp. 3917-3931.
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-21-791