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Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs.
Kim, Tae Kyung; Yi, Paul H; Wei, Jinchi; Shin, Ji Won; Hager, Gregory; Hui, Ferdinand K; Sair, Haris I; Lin, Cheng Ting.
Afiliación
  • Kim TK; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Yi PH; Radiology Artificial Intelligence Lab (RAIL), Malone Center for Engineering in Healthcare, Johns Hopkins University Whiting School of engineering, Baltimore, MD, USA.
  • Wei J; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Shin JW; Radiology Artificial Intelligence Lab (RAIL), Malone Center for Engineering in Healthcare, Johns Hopkins University Whiting School of engineering, Baltimore, MD, USA.
  • Hager G; Radiology Artificial Intelligence Lab (RAIL), Malone Center for Engineering in Healthcare, Johns Hopkins University Whiting School of engineering, Baltimore, MD, USA.
  • Hui FK; Radiology Artificial Intelligence Lab (RAIL), Malone Center for Engineering in Healthcare, Johns Hopkins University Whiting School of engineering, Baltimore, MD, USA.
  • Sair HI; Radiology Artificial Intelligence Lab (RAIL), Malone Center for Engineering in Healthcare, Johns Hopkins University Whiting School of engineering, Baltimore, MD, USA.
  • Lin CT; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
J Digit Imaging ; 32(6): 925-930, 2019 12.
Article en En | MEDLINE | ID: mdl-30972585
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Radiografía Torácica / Interpretación de Imagen Radiográfica Asistida por Computador / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Adult / Child / Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Radiografía Torácica / Interpretación de Imagen Radiográfica Asistida por Computador / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Adult / Child / Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos