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Endoscopic ultrasound diagnosis system based on deep learning in images capture and segmentation training of solid pancreatic masses.
Tang, Anliu; Gong, Pan; Fang, Ning; Ye, Mingmei; Hu, Shan; Liu, Jinzhu; Wang, Wujun; Gao, Kui; Wang, Xiaoyan; Tian, Li.
Afiliación
  • Tang A; Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Gong P; Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Central South University, Changsha, Hunan, China.
  • Fang N; Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Ye M; Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Hu S; Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Liu J; Wuhan EndoAngel Medical Technology Co., Ltd., Wuhan, Hubei, China.
  • Wang W; Wuhan EndoAngel Medical Technology Co., Ltd., Wuhan, Hubei, China.
  • Gao K; Wuhan EndoAngel Medical Technology Co., Ltd., Wuhan, Hubei, China.
  • Wang X; Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Tian L; Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Med Phys ; 50(7): 4197-4205, 2023 Jul.
Article en En | MEDLINE | ID: mdl-36965116

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Screening_studies Límite: Humans Idioma: En Revista: Med Phys Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Screening_studies Límite: Humans Idioma: En Revista: Med Phys Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos