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Radiologists with and without deep learning-based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses.
Wataya, Tomohiro; Yanagawa, Masahiro; Tsubamoto, Mitsuko; Sato, Tomoharu; Nishigaki, Daiki; Kita, Kosuke; Yamagata, Kazuki; Suzuki, Yuki; Hata, Akinori; Kido, Shoji; Tomiyama, Noriyuki.
  • Wataya T; Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Yanagawa M; Department of Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Tsubamoto M; Department of Radiology, Nishinomiya Municipal Central Hospital, 8-24, Hayashida Cho, Nishinomiya, Hyogo, 663-8014, Japan.
  • Sato T; Department of Biostatistics & Data Science, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Nishigaki D; Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Kita K; Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Yamagata K; Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Suzuki Y; Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Hata A; Department of Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Kido S; Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan. kido@radiol.med.osaka-u.ac.jp.
  • Tomiyama N; Department of Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Eur Radiol ; 33(1): 348-359, 2023 Jan.
Article en En | MEDLINE | ID: mdl-35751697
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Nódulo Pulmonar Solitario / Nódulos Pulmonares Múltiples / Aprendizaje Profundo / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Nódulo Pulmonar Solitario / Nódulos Pulmonares Múltiples / Aprendizaje Profundo / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article