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A deep learning-based system for assessment of serum quality using sample images.
Yang, Chao; Li, Dongling; Sun, Dehua; Zhang, Shaofen; Zhang, Peng; Xiong, Yufeng; Zhao, Minghai; Qi, Tao; Situ, Bo; Zheng, Lei.
Affiliation
  • Yang C; Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China.
  • Li D; Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China.
  • Sun D; Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China.
  • Zhang S; Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China.
  • Zhang P; Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China.
  • Xiong Y; Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China.
  • Zhao M; Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China.
  • Qi T; Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China.
  • Situ B; Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China. Electronic address: bositu@smu.edu.cn.
  • Zheng L; Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China. Electronic address: nfyyzhenglei@smu.edu.cn.
Clin Chim Acta ; 531: 254-260, 2022 Jun 01.
Article in En | MEDLINE | ID: mdl-35421398

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Hyperlipidemias / Jaundice Type of study: Prognostic_studies Limits: Humans Language: En Journal: Clin Chim Acta Year: 2022 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Hyperlipidemias / Jaundice Type of study: Prognostic_studies Limits: Humans Language: En Journal: Clin Chim Acta Year: 2022 Type: Article