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

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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
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  Data: Deep learning attention-guided radiomics for COVID-19 chest radiograph classification.
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  Data: <searchLink fieldCode="AU" term="%22Yang+D%22">Yang D</searchLink>; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Ren+G%22">Ren G</searchLink>; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Ni+R%22">Ni R</searchLink>; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Huang+YH%22">Huang YH</searchLink>; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Lam+NFD%22">Lam NFD</searchLink>; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Sun+H%22">Sun H</searchLink>; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Wan+SBN%22">Wan SBN</searchLink>; Department of Radiology, Pamela Youde Nethersole Eastern Hospital, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Wong+MFE%22">Wong MFE</searchLink>; Department of Radiology, Pamela Youde Nethersole Eastern Hospital, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Chan+KK%22">Chan KK</searchLink>; Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Tsang+HCH%22">Tsang HCH</searchLink>; Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Xu+L%22">Xu L</searchLink>; Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Wu+TC%22">Wu TC</searchLink>; Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Kong+FS%22">Kong FS</searchLink>; Department of Clinical Oncology, The University of Hong Kong, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Wáng+YXJ%22">Wáng YXJ</searchLink>; Deparment of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Qin+J%22">Qin J</searchLink>; School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Chan+LWC%22">Chan LWC</searchLink>; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Ying+M%22">Ying M</searchLink>; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Cai+J%22">Cai J</searchLink>; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22AME+Pub%22">AME Pub </searchLink><i>Country of Publication: </i>China <i>NLM ID: </i>101577942 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2223-4292 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222234306%22">22234306 </searchLink><i>NLM ISO Abbreviation: </i>Quant Imaging Med Surg <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.21037/qims-22-531
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              Text: 2023 Feb 01
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