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

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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
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  Data: Development and validation of bone-suppressed deep learning classification of COVID-19 presentation in chest radiographs.
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  Data: <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="%22Song+L%22">Song L</searchLink>; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.<br /><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="%22Zhi+S%22">Zhi S</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="%22Chou+PH%22">Chou PH</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="%22Kong+FS%22">Kong FS</searchLink>; Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Wáng+YXJ%22">Wáng YXJ</searchLink>; Department 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 <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-21-791
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      – Code: eng
        Text: English
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        StartPage: 3917
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            – D: 01
              M: 07
              Text: 2022 Jul
              Type: published
              Y: 2022
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