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An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration.
Li, Jia; Wang, Xinghao; Cai, Linkun; Sun, Jing; Yang, Zhenghan; Liu, Wenjuan; Wang, Zhenchang; Lv, Han.
Afiliação
  • Li J; Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Wang X; Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Cai L; Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Sun J; School of Biological Science and Medical Engineering, Beihang University, Beijing, People's Republic of China.
  • Yang Z; Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Liu W; Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Wang Z; Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Lv H; Department of Radiology, Aerospace Center Hospital, Beijing, People's Republic of China.
Cancer Med ; 12(18): 19337-19351, 2023 09.
Article em En | MEDLINE | ID: mdl-37694452
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Aprendizado Profundo Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Aprendizado Profundo Idioma: En Ano de publicação: 2023 Tipo de documento: Article