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Comparison of the radiomics-based predictive models using machine learning and nomogram for epidermal growth factor receptor mutation status and subtypes in lung adenocarcinoma.
Kawazoe, Yusuke; Shiinoki, Takehiro; Fujimoto, Koya; Yuasa, Yuki; Hirano, Tsunahiko; Matsunaga, Kazuto; Tanaka, Hidekazu.
Afiliação
  • Kawazoe Y; Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, Yamaguchi, Japan.
  • Shiinoki T; Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, Yamaguchi, Japan. shiinoki@yamaguchi-u.ac.jp.
  • Fujimoto K; Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, Yamaguchi, Japan.
  • Yuasa Y; Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, Yamaguchi, Japan.
  • Hirano T; Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, Yamaguchi, Japan.
  • Matsunaga K; Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, Yamaguchi, Japan.
  • Tanaka H; Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, Yamaguchi, Japan.
Phys Eng Sci Med ; 46(1): 395-403, 2023 Mar.
Article em En | MEDLINE | ID: mdl-36787023
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Adenocarcinoma de Pulmão / Neoplasias Pulmonares Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Phys Eng Sci Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Adenocarcinoma de Pulmão / Neoplasias Pulmonares Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Phys Eng Sci Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão