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Diagnosing and grading gastric atrophy and intestinal metaplasia using semi-supervised deep learning on pathological images: development and validation study.
Fang, Shuangshuang; Liu, Zhenyu; Qiu, Qi; Tang, Zhenchao; Yang, Yang; Kuang, Zhongsheng; Du, Xiaohua; Xiao, Shanshan; Liu, Yanyan; Luo, Yuanbin; Gu, Liping; Tian, Li; Liang, Xiaoxia; Fan, Guiling; Zhang, Yu; Zhang, Ping; Zhou, Weixun; Liu, Xiuli; Tian, Jie; Wei, Wei.
Afiliación
  • Fang S; Beijing Key Laboratory of Functional Gastrointestinal Disorders Diagnosis and Treatment of Traditional Chinese Medicine; Department of Gastroenterology, Wangjing Hospital, China Academy of Chinese Medical Sciences, No. 6, Zhonghuan South Road, Wangjing, Beijing, 100102, China.
  • Liu Z; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
  • Qiu Q; School of Artificial Intelligence, University of Chinese Academy of Science, Beijing, 100190, China.
  • Tang Z; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
  • Yang Y; School of Artificial Intelligence, University of Chinese Academy of Science, Beijing, 100190, China.
  • Kuang Z; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, 100191, China.
  • Du X; Beijing Key Laboratory of Functional Gastrointestinal Disorders Diagnosis and Treatment of Traditional Chinese Medicine; Department of Gastroenterology, Wangjing Hospital, China Academy of Chinese Medical Sciences, No. 6, Zhonghuan South Road, Wangjing, Beijing, 100102, China.
  • Xiao S; Department of Pathology, The First Affiliated Hospital of Guangdong University of Traditional Chinese Medicine, Guangzhou, 510405, China.
  • Liu Y; Department of Pathology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, 510120, China.
  • Luo Y; Department of Pathology, The First Affiliated Hospital of Guangdong University of Traditional Chinese Medicine, Guangzhou, 510405, China.
  • Gu L; Department of Pathology, The First Affiliated Hospital of Guangdong University of Traditional Chinese Medicine, Guangzhou, 510405, China.
  • Tian L; Department of Pathology, Gansu Provincial Hospital of Traditional Chinese Medicine, Lanzhou, 730050, China.
  • Liang X; Department of Pathology, Gansu Provincial Hospital of Traditional Chinese Medicine, Lanzhou, 730050, China.
  • Fan G; Department of Pathology, Gansu Provincial Hospital of Traditional Chinese Medicine, Lanzhou, 730050, China.
  • Zhang Y; Department of Pathology, Shanxi Provincial Hospital of Traditional Chinese Medicine, Taiyuan, 030012, China.
  • Zhang P; Department of Pathology, Shanxi Provincial Hospital of Traditional Chinese Medicine, Taiyuan, 030012, China.
  • Zhou W; Department of Pathology, Shanxi Provincial Hospital of Traditional Chinese Medicine, Taiyuan, 030012, China.
  • Liu X; Department of Pathology, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, China.
  • Tian J; Department of Pathology, Peking Union Medical College Hospital, Beijing, 100730, China.
  • Wei W; Department of Pathology and Immunology, Washington University, St. Louis, MO, 98195, USA.
Gastric Cancer ; 27(2): 343-354, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38095766
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Gástricas / Aprendizaje Profundo / Gastritis Atrófica Límite: Humans Idioma: En Revista: Gastric Cancer Asunto de la revista: GASTROENTEROLOGIA / NEOPLASIAS Año: 2024 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Gástricas / Aprendizaje Profundo / Gastritis Atrófica Límite: Humans Idioma: En Revista: Gastric Cancer Asunto de la revista: GASTROENTEROLOGIA / NEOPLASIAS Año: 2024 Tipo del documento: Article País de afiliación: China