Generative adversarial network based data augmentation and gender-last training strategy with application to bone age assessment.

Journal: Computer methods and programs in biomedicine
Published Date: Oct 7, 2021

Abstract

BACKGROUND AND OBJECTIVES: Bone age assessment (BAA) is widely used in determination of discrepancy between skeletal age and chronological age. Manual approaches are complicated which require experienced experts, while existing automatic approaches are perplexed with small and imbalanced samples which is a big challenge in deep learning.

Authors

  • Liyilei Su
    Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China.
  • Xianjun Fu
    Institute for Literature and Culture of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
  • Qingmao Hu
    Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Boulevard, Shenzhen 518055, China; Key Laboratory of Human-Machine Intelligence Synergy Systems, 1068 Xueyuan Boulevard, Shenzhen 518055, China. Electronic address: qm.hu@siat.ac.cn.

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