Integrating prior knowledge with deep learning for optimized quality control in corneal images: A multicenter study.

Journal: Computer methods and programs in biomedicine
Published Date: Apr 28, 2025

Abstract

OBJECTIVE: Artificial intelligence (AI) models are effective for analyzing high-quality slit-lamp images but often face challenges in real-world clinical settings due to image variability. This study aims to develop and evaluate a hybrid AI-based image quality control system to classify slit-lamp images, improving diagnostic accuracy and efficiency, particularly in telemedicine applications.

Authors

  • Fen-Fen Li
    National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, PR China.
  • Gao-Xiang Li
    Beijing Normal University, School of Artificial Intelligence, Beijing, PR China.
  • Xin-Xin Yu
    National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, PR China.
  • Zu-Hui Zhang
    National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, PR China.
  • Ya-Na Fu
    National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, PR China.
  • Shuang-Qing Wu
    National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, PR China.
  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Chun Xiao
    State Grid Shanxi Marketing Service Center, Taiyuan, 030032, China. Electronic address: tyutxiaochun@163.com.
  • Yu-Feng Ye
    National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, PR China.
  • Min Hu
    Graduate School of Medical Sciences, Kyushu University, Fukuoka City, Fukuoka, Japan.
  • Qi Dai
    The First Clinical Medical College, Guangxi University of Chinese Medicine, Nanning 530001, China.

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