A Computer-Aided Diagnosis System of Fetal Nucleated Red Blood Cells With Convolutional Neural Network.

Journal: Archives of pathology & laboratory medicine
PMID:

Abstract

CONTEXT.—: The rapid recognition of fetal nucleated red blood cells (fNRBCs) presents considerable challenges.

Authors

  • Chao Sun
    Hospital for Skin Diseases and Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
  • Ruijie Wang
    Department of Gastrointestinal Surgery, Shengli Oilfield Central Hospital, Dongying, Jilin Province, China.
  • Lanbo Zhao
    From the Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi, China (Sun, Zhao, Han, Ma, Liang, L. Wang, Tuo, Zhang, Li).
  • Lu Han
    Pfizer Worldwide Chemical Research and Development, Pfizer Inc. Groton Connecticut 06340 USA Sebastien.Monfette@pfizer.com.
  • Sijia Ma
    Department of Periodontology, Kunming Medical University School and Hospital of Stomatology, Kunming, 650106, People's Republic of China.
  • Dongxin Liang
    From the Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi, China (Sun, Zhao, Han, Ma, Liang, L. Wang, Tuo, Zhang, Li).
  • Lei Wang
    Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Xiaoqian Tuo
    From the Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi, China (Sun, Zhao, Han, Ma, Liang, L. Wang, Tuo, Zhang, Li).
  • Yu Zhang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Dexing Zhong
    School of Automation Science and Engineering, Xi'an Jiaotong University Xi'an, Shannxi, China (R. Wang, Zhong).
  • Qiling Li