Deep Learning-Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization.

Journal: Journal of medical Internet research
Published Date: Jul 17, 2025

Abstract

BACKGROUND: Traditional ocular gaze photograph preprocessing, relying on manual cropping and head tilt correction, is time-consuming and inconsistent, limiting artificial intelligence (AI) model development and clinical application.

Authors

  • Dawen Wu
    Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des signaux et systèmes, 3, rue Joliot Curie, 91190 Gif-sur-Yvette, France. Electronic address: dawen.wu@centralesupelec.fr.
  • Yanfei Li
    School of Computer Science & Technology, Taiyuan University of Science and Technology, Taiyuan, China.
  • Zeyi Yang
    Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China.
  • Teng Yin
    Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China.
  • Xiaohang Chen
    Department of Ophthalmology, West China Hospital, Sichuan University, 37 Guoxue Xiang (Alley), Chengdu, Sichuan Province, 610041, China, 86 18980601759.
  • Jingyu Liu
    Interventional Department, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
  • Wenyi Shang
    Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China.
  • Bin Xie
    School of Automation, Central South University, Changsha, China. xiebin@csu.edu.cn.
  • Guoyuan Yang
    Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China.
  • Haixian Zhang
    Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu 610065, P. R. China.
  • Longqian Liu
    Department of Optometry and Vision Sciences, West China School of Medicine, Sichuan University, Chengdu 610041, China.

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