Your browser doesn't support javascript.
loading
Use of a Commercially Available Deep Learning Algorithm to Measure the Solid Portions of Lung Cancer Manifesting as Subsolid Lesions at CT: Comparisons with Radiologists and Invasive Component Size at Pathologic Examination.
Ahn, Yura; Lee, Sang Min; Noh, Han Na; Kim, Wooil; Choe, Jooae; Do, Kyung-Hyun; Seo, Joon Beom.
Afiliación
  • Ahn Y; From the 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; From the 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.
  • Noh HN; From the 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.
  • Kim W; From the 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; From the 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.
  • Do KH; From the 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; From the 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.
Radiology ; 299(1): 202-210, 2021 04.
Article en En | MEDLINE | ID: mdl-33529136
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Adenocarcinoma / Tomografía Computarizada por Rayos X / Aprendizaje Profundo / Neoplasias Pulmonares Tipo de estudio: Observational_studies / Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Adenocarcinoma / Tomografía Computarizada por Rayos X / Aprendizaje Profundo / Neoplasias Pulmonares Tipo de estudio: Observational_studies / Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Año: 2021 Tipo del documento: Article