Rapid screening of acute promyelocytic leukaemia in daily batch specimens: A novel artificial intelligence-enabled approach to bone marrow morphology.

Journal: Clinical and translational medicine
PMID:

Abstract

No abstract available for this article.

Authors

  • Yujun Xiao
    Huaihua University, Huaihua 418000, China.
  • Zheng Huang
    Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, China.
  • Jun Wu
    Department of Emergency, Zhuhai Integrated Traditional Chinese and Western Medicine Hospital, Zhuhai, 519020, Guangdong Province, China. quanshabai43@163.com.
  • Yan Zhang
    Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, China.
  • Yuanyuan Yang
    Department of Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, 999077, China.
  • Chun Xu
    Xinjiang University of Finance and Economics, Urmqi 830011, China.
  • Fangyu Guo
    Department of Hematology, Changhai Hospital, Naval Military Medical University, Shanghai, China.
  • Xiong Ni
    Department of Hematology, Changhai Hospital, Naval Military Medical University, Shanghai, China.
  • Xinhua Hu
    Center of Clinical Pharmacology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.
  • Jianmin Yang
    Department of Hematology, Changhai Hospital, Naval Military Medical University, Shanghai, China.
  • Yang Song
    Biomedical and Multimedia Information Technology (BMIT) Research Group, School of IT, University of Sydney, NSW 2006, Australia. Electronic address: yson1723@uni.sydney.edu.au.
  • Hui Cheng
    School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Gusheng Tang
    Department of Hematology, Changhai Hospital, Shanghai, China.