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An artificial intelligence-based ecological index for prognostic evaluation of colorectal cancer.
Chen, Qicong; Cai, Ming; Fan, Xinjuan; Liu, Wenbin; Fang, Gang; Yao, Su; Xu, Yao; Li, Qian; Zhao, Yingnan; Zhao, Ke; Liu, Zaiyi; Chen, Zhihua.
Afiliação
  • Chen Q; Institute of Computing Science and Technology, Guangzhou University, No. 230, Outer Ring West Road, Guangzhou, 510006, China.
  • Cai M; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, 510080, China.
  • Fan X; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, 510080, China.
  • Liu W; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
  • Fang G; Department of Pathology, Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
  • Yao S; Institute of Computing Science and Technology, Guangzhou University, No. 230, Outer Ring West Road, Guangzhou, 510006, China.
  • Xu Y; Institute of Computing Science and Technology, Guangzhou University, No. 230, Outer Ring West Road, Guangzhou, 510006, China.
  • Li Q; Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
  • Zhao Y; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, 510080, China.
  • Zhao K; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
  • Liu Z; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, 510080, China.
  • Chen Z; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
BMC Cancer ; 23(1): 763, 2023 Aug 17.
Article em En | MEDLINE | ID: mdl-37592224
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias Colorretais Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: BMC Cancer Assunto da revista: NEOPLASIAS Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias Colorretais Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: BMC Cancer Assunto da revista: NEOPLASIAS Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China