Deep learning attention-guided radiomics for COVID-19 chest radiograph classification.

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Bibliographic Details
Title: Deep learning attention-guided radiomics for COVID-19 chest radiograph classification.
Authors: Yang D; 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., Ni R; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China., Huang YH; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China., 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., 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., Xu L; Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong, China., Wu TC; Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong, China., Kong FS; Department of Clinical Oncology, The University of Hong Kong, Hong Kong, China., Wáng YXJ; Deparment 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] 2023 Feb 01; Vol. 13 (2), pp. 572-584. Date of Electronic Publication: 2022 Nov 21.
Publication Type: Journal Article
Journal Info: Publisher: AME Pub Country of Publication: China NLM ID: 101577942 Publication Model: Print-Electronic 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-22-531