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Deep learning to predict esophageal variceal bleeding based on endoscopic images.
Hong, Yu; Yu, Qianqian; Mo, Feng; Yin, Minyue; Xu, Chang; Zhu, Shiqi; Lin, Jiaxi; Xu, Guoting; Gao, Jingwen; Liu, Lu; Wang, Yu.
Affiliation
  • Hong Y; Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Yu Q; Department of Oncology, Jintan Affiliated Hospital of Jiangsu University, Jintan, China.
  • Mo F; Department of General Surgery, Jintan Affiliated Hospital of Jiangsu University, Jintan, China.
  • Yin M; Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Xu C; Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Zhu S; Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Lin J; Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Xu G; Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Gao J; Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Liu L; Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Wang Y; Department of General Surgery, Jintan Affiliated Hospital of Jiangsu University, Jintan, China.
J Int Med Res ; 51(10): 3000605231200371, 2023 Oct.
Article in En | MEDLINE | ID: mdl-37818651
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Esophageal and Gastric Varices / Deep Learning Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Int Med Res Year: 2023 Document type: Article Affiliation country: China Country of publication: United kingdom
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Esophageal and Gastric Varices / Deep Learning Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Int Med Res Year: 2023 Document type: Article Affiliation country: China Country of publication: United kingdom