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ASO Visual Abstract: Radiomics with Artificial Intelligence for the Prediction of Early Recurrence in Patients with Clinical Stage IA Lung Cancer.
Shimada, Yoshihisa; Kudo, Yujin; Maehara, Sachio; Amemiya, Ryosuke; Masuno, Ryuhei; Park, Jinho; Ikeda, Norihiko.
Afiliación
  • Shimada Y; Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan. zenkyu@za3.so-net.ne.jp.
  • Kudo Y; Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan.
  • Maehara S; Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan.
  • Amemiya R; Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan.
  • Masuno R; Department of Radiology, Tokyo Medical University, Tokyo, Japan.
  • Park J; Department of Radiology, Tokyo Medical University, Tokyo, Japan.
  • Ikeda N; Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan.
Ann Surg Oncol ; 29(13): 8196-8197, 2022 Dec.
Article en En | MEDLINE | ID: mdl-36161377
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Surg Oncol Asunto de la revista: NEOPLASIAS Año: 2022 Tipo del documento: Article País de afiliación: Japón
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Surg Oncol Asunto de la revista: NEOPLASIAS Año: 2022 Tipo del documento: Article País de afiliación: Japón