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Development and validation of bone-suppressed deep learning classification of COVID-19 presentation in chest radiographs.
Lam, Ngo Fung Daniel; Sun, Hongfei; Song, Liming; Yang, Dongrong; Zhi, Shaohua; Ren, Ge; Chou, Pak Hei; Wan, Shiu Bun Nelson; Wong, Man Fung Esther; Chan, King Kwong; Tsang, Hoi Ching Hailey; Kong, Feng-Ming Spring; Wáng, Yì Xiáng J; Qin, Jing; Chan, Lawrence Wing Chi; Ying, Michael; Cai, Jing.
Afiliación
  • 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.
Quant Imaging Med Surg ; 12(7): 3917-3931, 2022 Jul.
Article en En | MEDLINE | ID: mdl-35782269
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Quant Imaging Med Surg Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: China
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Quant Imaging Med Surg Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: China