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Morphologic identification of clinically encountered moulds using a residual neural network.
Jing, Ran; Yin, Xiang-Long; Xie, Xiu-Li; Lian, He-Qing; Li, Jin; Zhang, Ge; Yang, Wen-Hang; Sun, Tian-Shu; Xu, Ying-Chun.
Afiliación
  • Jing R; Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
  • Yin XL; Graduate School, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
  • Xie XL; Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, China.
  • Lian HQ; Beijing Hao Chen Xing Yue Technology Co., Ltd., Beijing, China.
  • Li J; Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
  • Zhang G; Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, China.
  • Yang WH; Beijing Xiaoying Technology Co., Ltd., Beijing, China.
  • Sun TS; Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
  • Xu YC; Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, China.
Front Microbiol ; 13: 1021236, 2022.
Article en En | MEDLINE | ID: mdl-36312928

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Front Microbiol Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Front Microbiol Año: 2022 Tipo del documento: Article