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A deep-learning model using enhanced chest CT images to predict PD-L1 expression in non-small-cell lung cancer patients.
Liu, P M; Feng, B; Shi, J F; Feng, H J; Hu, Z J; Chen, Y H; Zhang, J P.
Afiliação
  • Liu PM; Cancer Center, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
  • Feng B; School of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, Guangxi, 541004, China.
  • Shi JF; School of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, Guangxi, 541004, China.
  • Feng HJ; Cancer Center, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
  • Hu ZJ; School of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, Guangxi, 541004, China.
  • Chen YH; School of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, Guangxi, 541004, China.
  • Zhang JP; Cancer Center, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. Electronic address: j
Clin Radiol ; 78(10): e689-e697, 2023 10.
Article em En | MEDLINE | ID: mdl-37460338

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

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