Innovative utilization of ultra-wide field fundus images and deep learning algorithms for screening high-risk posterior polar cataract.

Journal: Journal of cataract and refractive surgery
Published Date: Jun 1, 2024

Abstract

PURPOSE: To test a cataract shadow projection theory and validate it by developing a deep learning algorithm that enables automatic and stable posterior polar cataract (PPC) screening using fundus images.

Authors

  • Elsa L C Mai
    From the Department of Electric Engineering, Yuan-Ze University, Taoyuan City, Taiwan (Mai, Chen, Su); Department of Ophthalmology, Far Eastern Memorial Hospital, Taiwan (Mai); Yuanpei University of Medical Technology, Hsinchu, Taiwan (Mai).
  • Bing-Hong Chen
    Department of Endoscopy, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Shenzhen, China.
  • Tai-Yuan Su

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