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Glaucoma is one of the leading causes of permanent blindness worldwide, affecting millions of patients. The early diagnosis and treatment of glaucoma are essential in order to avoid the disastrous loss of vision. This paper discusses some recent efforts in applying machine learning techniques concerning glaucoma classification based on retinal images. We review exhaustively all available literature discussing datasets used, feature extraction techniques, and most often utilized machine learning algorithms. Additionally, we test the performance of the applied algorithms and discuss their applicability in clinical practice.

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Ensemble-Based Machine Learning Approach for Glaucoma Detection and Classification

  • 会议论文

  • 发表日期：

    2026年

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  • Jincy C. Mathew,
  • V. Asha,
  • Preethi Urs,
  • Saba Wakeel,
  • Rehan Gupta

摘要

Glaucoma is one of the leading causes of permanent blindness worldwide, affecting millions of patients. The early diagnosis and treatment of glaucoma are essential in order to avoid the disastrous loss of vision. This paper discusses some recent efforts in applying machine learning techniques concerning glaucoma classification based on retinal images. We review exhaustively all available literature discussing datasets used, feature extraction techniques, and most often utilized machine learning algorithms. Additionally, we test the performance of the applied algorithms and discuss their applicability in clinical practice.