A deep learning-based system for assessment of serum quality using sample images.

Journal: Clinica chimica acta; international journal of clinical chemistry
PMID:

Abstract

BACKGROUND: Serum quality is an important factor in the pre-analytical phase of laboratory analysis. Visual inspection of serum quality (including recognition of hemolysis, icterus, and lipemia) is widely used in clinical laboratories but is time-consuming, subjective, and prone to errors.

Authors

  • Chao Yang
    Translational Institute for Cancer Pain, Chongming Hospital Affiliated to Shanghai University of Health & Medicine Sciences (Xinhua Hospital Chongming Branch), Shanghai 202155, P. R. China.
  • Dongling Li
    State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China; Department of Cariology and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Dehua Sun
    Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China.
  • Shaofen Zhang
    Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China.
  • Peng Zhang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Yufeng Xiong
    Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China.
  • Minghai Zhao
    Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China.
  • Tao Qi
    Department of Laboratory Medicine, Nangfang Hospital, Southern Medical University, GuangDong, 510515, China.
  • Bo Situ
    Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, PR China. Electronic address: bositu@smu.edu.cn.
  • Lei Zheng
    Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Huanhuxi Road, Hexi District, Tianjin 300060, China.