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Artificial intelligence-based radiomics for the prediction of nodal metastasis in early-stage lung cancer.
Shimada, Yoshihisa; Kudo, Yujin; Maehara, Sachio; Fukuta, Kentaro; Masuno, Ryuhei; Park, Jinho; Ikeda, Norihiko.
Afiliação
  • Shimada Y; Department of Thoracic Surgery, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-Ku, Tokyo, 160-0023, 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.
  • Fukuta K; 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.
Sci Rep ; 13(1): 1028, 2023 01 19.
Article em En | MEDLINE | ID: mdl-36658301
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma in Situ / Carcinoma Pulmonar de Células não Pequenas / Neoplasias Pulmonares Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma in Situ / Carcinoma Pulmonar de Células não Pequenas / Neoplasias Pulmonares Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article