[Application of convolutional neural networks for the classification of metaphase chromosomes].

Journal: Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics
PMID: 38448018

Abstract

OBJECTIVE: To train a deep convolutional neural networks (CNN) using a labeled data set to classify the metaphase chromosomes and test its accuracy for chromosomal identification.

Authors

  • Lingling Xu
  • Ying Zhou
    Institute of Drug Metabolism and Pharmaceutical Analysis, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Lichao Zhang
    School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao 066004, PR China. Electronic address: zhanglichaoouc@neuq.edu.cn.
  • Zhenyu Wang
    Department of Radiology, Affiliated Hospital 6 of Nantong University, Medical School of Nantong University, Nantong, Jiangsu, China.
  • Qianqian Mao
  • Ning Song
  • Haibo Li
    College of Electronic and Electrical Engineering, Shanghai University of Engineering Science, 333 Longteng Road, Shanghai 201620, China.

Keywords

External Resources

Popular Topics
Recent Journals