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A chronic retinal disorder called glaucoma damages the optic nerve and induces blindness. The eye is one of the body’s greatest significance organs for gaining an understanding of the outside world. It is possible to use artificial intelligence (AI) to guarantee early disease diagnosis and suitable therapy. In this work, we have applied four deep learning methods: GoogleNet, AlexNet, Visual Geometry Group (VGG16), and Residual Network (ResNet50). For performance comparison, four metrics have been used, i.e., Accuracy, F1 Score, Recall, and Precision. Our study suggests that among all the classifiers, GoogleNet is showing the best performance with accuracy 89.28%, Precision 65.15%, Recall 65%, and F1 Score 64.91%.

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Detection of Glaucoma Disease Using Deep Learning Methods

  • 会议论文

  • 发表日期：

    2025年

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  • Khushi Singh,
  • Geeta Garg,
  • Ritika Kumari,
  • Poonam Bansal,
  • Amita Dev

摘要

A chronic retinal disorder called glaucoma damages the optic nerve and induces blindness. The eye is one of the body’s greatest significance organs for gaining an understanding of the outside world. It is possible to use artificial intelligence (AI) to guarantee early disease diagnosis and suitable therapy. In this work, we have applied four deep learning methods: GoogleNet, AlexNet, Visual Geometry Group (VGG16), and Residual Network (ResNet50). For performance comparison, four metrics have been used, i.e., Accuracy, F1 Score, Recall, and Precision. Our study suggests that among all the classifiers, GoogleNet is showing the best performance with accuracy 89.28%, Precision 65.15%, Recall 65%, and F1 Score 64.91%.