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Utility of a Deep Learning Algorithm for Detection of Reticular Opacity on Chest Radiography in Patients With Interstitial Lung Disease.
Kim, Wooil; Lee, Sang Min; Kim, Jung Im; Ahn, Yura; Park, Sohee; Choe, Jooae; Seo, Joon Beom.
Afiliación
  • Kim W; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43 Gil, Songpa-gu, Seoul 138-736, Korea.
  • Lee SM; Present affiliation: Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, VA.
  • Kim JI; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43 Gil, Songpa-gu, Seoul 138-736, Korea.
  • Ahn Y; Department of Radiology, Kyung Hee University Hospital at Gangdong, Seoul, Korea.
  • Park S; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43 Gil, Songpa-gu, Seoul 138-736, Korea.
  • Choe J; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43 Gil, Songpa-gu, Seoul 138-736, Korea.
  • Seo JB; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43 Gil, Songpa-gu, Seoul 138-736, Korea.
AJR Am J Roentgenol ; 218(4): 642-650, 2022 04.
Article en En | MEDLINE | ID: mdl-34668769

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Pulmonares Intersticiales / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: AJR Am J Roentgenol Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Pulmonares Intersticiales / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: AJR Am J Roentgenol Año: 2022 Tipo del documento: Article