An Integral R-Banded Karyotype Analysis System of Bone Marrow Metaphases Based on Deep Learning.

Journal: Archives of pathology & laboratory medicine
PMID: 37931220

Abstract

CONTEXT.—: Conventional karyotype analysis, which provides comprehensive cytogenetic information, plays a significant role in the diagnosis and risk stratification of hematologic neoplasms. The main limitations of this approach include long turnaround time and laboriousness. Therefore, we developed an integral R-banded karyotype analysis system for bone marrow metaphases, based on deep learning.

Authors

  • Jiyue Wang
    From the Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Wang, Fan, Jiang, G. Yang, Z. Chen, B. Chen).
  • Chao Xia
    the Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China (Xia, J. Yang).
  • Yaling Fan
    the The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China (Fan).
  • Lu Jiang
    Institute of Materials Research and Engineering (IMRE), A*STAR, 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634.
  • Guang Yang
    National Heart and Lung Institute, Imperial College London, London, UK.
  • Zhijun Chen
    Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430070, China.
  • Jie Yang
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • Bing Chen
    Department of Critical Care Medicine, The Second Hospital of Tianjin Medical University, Tianjin, China.

Keywords

External Resources

Popular Topics
Recent Journals