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Artificial intelligence can accurately distinguish IgA nephropathy from diabetic nephropathy under Masson staining and becomes an important assistant for renal pathologists.
Fan, Zhenliang; Yang, Qiaorui; Xia, Hong; Zhang, Peipei; Sun, Ke; Yang, Mengfan; Yin, Riping; Zhao, Dongxue; Ma, Hongzhen; Shen, Yiwei; Fan, Junfen.
Affiliation
  • Fan Z; Nephrology Department, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China.
  • Yang Q; Academy of Chinese Medical Science, Zhejiang Chinese Medical University, Hangzhou, China.
  • Xia H; Harbin Institute of Physical Education, Harbin, China.
  • Zhang P; Nephrology Department, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China.
  • Sun K; Nephrology Department, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China.
  • Yang M; Graduate School, Zhejiang Chinese Medical University, Hangzhou, China.
  • Yin R; Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Zhao D; Nephrology and Endocrinology Department, Pinghu Hospital of Traditional Chinese Medicine, Pinghu, China.
  • Ma H; Harbin Institute of Physical Education, Harbin, China.
  • Shen Y; Nephrology Department, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China.
  • Fan J; Ningbo Municipal Hospital of Traditional Chinese Medicine (Affiliated Hospital of Zhejiang Chinese Medical University), Ningbo, China.
Front Med (Lausanne) ; 10: 1066125, 2023.
Article in En | MEDLINE | ID: mdl-37469661
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Med (Lausanne) Year: 2023 Document type: Article Affiliation country: China Country of publication: Switzerland
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Med (Lausanne) Year: 2023 Document type: Article Affiliation country: China Country of publication: Switzerland