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Automatic detection of early gastric cancer in endoscopy based on Mask region-based convolutional neural networks (Mask R-CNN)(with video).
Jin, Jing; Zhang, Qianqian; Dong, Bill; Ma, Tao; Mei, Xuecan; Wang, Xi; Song, Shaofang; Peng, Jie; Wu, Aijiu; Dong, Lanfang; Kong, Derun.
Afiliación
  • Jin J; Key Laboratory of Digestive Diseases of Anhui Province, Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Zhang Q; Key Laboratory of Digestive Diseases of Anhui Province, Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Dong B; School of Computer Science and Technology, University of Science and Technology of China, Hefei, China.
  • Ma T; School of Computer Science and Technology, University of Science and Technology of China, Hefei, China.
  • Mei X; Key Laboratory of Digestive Diseases of Anhui Province, Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Wang X; Key Laboratory of Digestive Diseases of Anhui Province, Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Song S; Research and Development Department, Hefei Zhongna Medical Instrument Co. LTD, Hefei, China.
  • Peng J; Research and Development Department, Hefei Zhongna Medical Instrument Co. LTD, Hefei, China.
  • Wu A; Research and Development Department, Hefei Zhongna Medical Instrument Co. LTD, Hefei, China.
  • Dong L; School of Computer Science and Technology, University of Science and Technology of China, Hefei, China.
  • Kong D; Key Laboratory of Digestive Diseases of Anhui Province, Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Front Oncol ; 12: 927868, 2022.
Article en En | MEDLINE | ID: mdl-36338757

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza