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Machine learning for MRI radiomics: a study predicting tumor-infiltrating lymphocytes in patients with pancreatic ductal adenocarcinoma.
Bian, Yun; Liu, Yan Fang; Jiang, Hui; Meng, Yinghao; Liu, Fang; Cao, Kai; Zhang, Hao; Fang, Xu; Li, Jing; Yu, Jieyu; Feng, Xiaochen; Li, Qi; Wang, Li; Lu, Jianping; Shao, Chengwei.
Afiliação
  • Bian Y; Department of Radiology, Changhai Hospital, Navy Medical University, Shanghai, 200434, China.
  • Liu YF; Department of Pathology, Changhai Hospital, Navy Medical University, Shanghai, China.
  • Jiang H; Department of Pathology, Changhai Hospital, Navy Medical University, Shanghai, China.
  • Meng Y; Department of Radiology, Changhai Hospital, Navy Medical University, Shanghai, 200434, China.
  • Liu F; Department of Radiology, Changhai Hospital, Navy Medical University, Shanghai, 200434, China.
  • Cao K; Department of Radiology, Changhai Hospital, Navy Medical University, Shanghai, 200434, China.
  • Zhang H; Department of Radiology, Changhai Hospital, Navy Medical University, Shanghai, 200434, China.
  • Fang X; Department of Radiology, Changhai Hospital, Navy Medical University, Shanghai, 200434, China.
  • Li J; Department of Radiology, Changhai Hospital, Navy Medical University, Shanghai, 200434, China.
  • Yu J; Department of Radiology, Changhai Hospital, Navy Medical University, Shanghai, 200434, China.
  • Feng X; Department of Radiology, Changhai Hospital, Navy Medical University, Shanghai, 200434, China.
  • Li Q; Department of Radiology, Changhai Hospital, Navy Medical University, Shanghai, 200434, China.
  • Wang L; Department of Radiology, Changhai Hospital, Navy Medical University, Shanghai, 200434, China.
  • Lu J; Department of Radiology, Changhai Hospital, Navy Medical University, Shanghai, 200434, China.
  • Shao C; Department of Radiology, Changhai Hospital, Navy Medical University, Shanghai, 200434, China. chengweishaoch@163.com.
Abdom Radiol (NY) ; 46(10): 4800-4816, 2021 10.
Article em En | MEDLINE | ID: mdl-34189612
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Carcinoma Ductal Pancreático Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Abdom Radiol (NY) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Carcinoma Ductal Pancreático Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Abdom Radiol (NY) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos