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A deep learning-based automatic analysis of cardiovascular borders on chest radiographs of valvular heart disease: development/external validation.
Kim, Cherry; Lee, Gaeun; Oh, Hongmin; Jeong, Gyujun; Kim, Sun Won; Chun, Eun Ju; Kim, Young-Hak; Lee, June-Goo; Yang, Dong Hyun.
Afiliación
  • Kim C; Department of Radiology, Korea University Ansan Hospital, Ansan, Korea.
  • Lee G; Biomedical Engineering Research Center, Asan Institute for Life Sciences, University of Ulsan College of Medicine, Seoul, Korea.
  • Oh H; Department of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Jeong G; Biomedical Engineering Research Center, Asan Institute for Life Sciences, University of Ulsan College of Medicine, Seoul, Korea.
  • Kim SW; Department of Cardiology, Korea University Ansan Hospital, Ansan, Korea.
  • Chun EJ; Department of Radiology, Seoul University Bundang Hospital, Seongnam, Korea.
  • Kim YH; Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Lee JG; Biomedical Engineering Research Center, Asan Institute for Life Sciences, University of Ulsan College of Medicine, Seoul, Korea.
  • Yang DH; Department of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. donghyun.yang@gmail.com.
Eur Radiol ; 32(3): 1558-1569, 2022 Mar.
Article en En | MEDLINE | ID: mdl-34647180
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Enfermedades de las Válvulas Cardíacas Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Enfermedades de las Válvulas Cardíacas Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2022 Tipo del documento: Article