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Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging.
Yoo, Seung Hoon; Geng, Hui; Chiu, Tin Lok; Yu, Siu Ki; Cho, Dae Chul; Heo, Jin; Choi, Min Sung; Choi, Il Hyun; Cung Van, Cong; Nhung, Nguen Viet; Min, Byung Jun; Lee, Ho.
Afiliación
  • Yoo SH; Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong.
  • Geng H; Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong.
  • Chiu TL; Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong.
  • Yu SK; Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong.
  • Cho DC; Artificial Intelligent Research Lab, Radisen, Seoul, South Korea.
  • Heo J; Artificial Intelligent Research Lab, Radisen, Seoul, South Korea.
  • Choi MS; Artificial Intelligent Research Lab, Radisen, Seoul, South Korea.
  • Choi IH; Artificial Intelligent Research Lab, Radisen, Seoul, South Korea.
  • Cung Van C; Vietnam National Lung Hospital, Hanoi, Vietnam.
  • Nhung NV; Vietnam National Lung Hospital, Hanoi, Vietnam.
  • Min BJ; Department of Radiation Oncology, Chungbuk National University Hospital, Cheongju, South Korea.
  • Lee H; Department of Radiation Oncology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Front Med (Lausanne) ; 7: 427, 2020.
Article en En | MEDLINE | ID: mdl-32760732
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 / 3_ND Problema de salud: 1_financiamento_saude / 3_tuberculosis Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Front Med (Lausanne) Año: 2020 Tipo del documento: Article País de afiliación: Hong Kong
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 / 3_ND Problema de salud: 1_financiamento_saude / 3_tuberculosis Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Front Med (Lausanne) Año: 2020 Tipo del documento: Article País de afiliación: Hong Kong