Artificial intelligence classification model for macular degeneration images: a robust optimization framework for residual neural networks.

Journal: BMC bioinformatics
Published Date: Nov 8, 2021

Abstract

BACKGROUND: The prevalence of chronic disease is growing in aging societies, and artificial-intelligence-assisted interpretation of macular degeneration images is a topic that merits research. This study proposes a residual neural network (ResNet) model constructed using uniform design. The ResNet model is an artificial intelligence model that classifies macular degeneration images and can assist medical professionals in related tests and classification tasks, enhance confidence in making diagnoses, and reassure patients. However, the various hyperparameters in a ResNet lead to the problem of hyperparameter optimization in the model. This study employed uniform design-a systematic, scientific experimental design-to optimize the hyperparameters of the ResNet and establish a ResNet with optimal robustness.

Authors

  • Wen-Hsien Ho
    Department of Healthcare Administration and Medical Informatics, 38023Kaohsiung Medical University, Kaohsiung 807, Taiwan.
  • Tian-Hsiang Huang
    Center for Big Data Research, Kaohsiung Medical University, No. 100, Shin-Chuan 1st Road, Kaohsiung, 807, Taiwan.
  • Po-Yuan Yang
    Department of Information Engineering and Computer Science, Feng Chia University, No. 100, Wenhwa Road, Taichung, 407, Taiwan.
  • Jyh-Horng Chou
    Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, No. 100, Shin-Chuan 1st Road, Kaohsiung, 807, Taiwan.
  • Hong-Siang Huang
    Department of Electrical Engineering, National Kaohsiung University of Science and Technology, No. 415, Chien-Kung Road, Kaohsiung, 807, Taiwan.
  • Li-Chung Chi
    Department of Ophthalmology, Kaohsiung Medical University Hospital, No. 100, Shin-Chuan 1st Road, Kaohsiung, 807, Taiwan.
  • Fu-I Chou
    Department of Electrical Engineering, National Kaohsiung University of Science and Technology, No. 415, Chien-Kung Road, Kaohsiung, 807, Taiwan. alvis.cfi@gmail.com.
  • Jinn-Tsong Tsai
    Department of Healthcare Administration and Medical Informatics, 38023Kaohsiung Medical University, Kaohsiung 807, Taiwan.

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