Your browser doesn't support javascript.
loading
Deep learning-based differentiation of invasive adenocarcinomas from preinvasive or minimally invasive lesions among pulmonary subsolid nodules.
Park, Sohee; Park, Gwangbeen; Lee, Sang Min; Kim, Wooil; Park, Hyunho; Jung, Kyuhwan; Seo, Joon Beom.
Afiliación
  • 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, South Korea.
  • Park G; VUNO Inc., Seoul, South Korea.
  • Lee SM; 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, South Korea. sangmin.lee.md@gmail.com.
  • 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, South Korea.
  • Park H; VUNO Inc., Seoul, South Korea.
  • Jung K; VUNO Inc., Seoul, South 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, South Korea.
Eur Radiol ; 31(8): 6239-6247, 2021 Aug.
Article en En | MEDLINE | ID: mdl-33555355
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Adenocarcinoma / Aprendizaje Profundo / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Adenocarcinoma / Aprendizaje Profundo / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2021 Tipo del documento: Article