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The world is witnessing a significant rise in ocular diseases, affecting not only the elderly but also young adults and children due to the increasing use of electronic devices. In response, the goal of this research is to create an advanced method for the early identification of ocular diseases. The model used is EfficientNetB0 because it delivers high performance with fewer parameters, making it both effective and efficient. By applying various techniques in the pre-processing stage, the performance of the model achieved noticeable improvements. Finally, the findings indicate that the model outperforms others in diagnosing ocular diseases. This superior performance is integrated into a web platform that offers user-friendly online healthcare services, making advanced eye care accessible to a broader audience. The successful integration of the advanced model into a web-based platform will be able to highlight the potential for advanced, which can enhance the accessibility and accuracy of ocular disease diagnosis in reality.

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Enhancing Automated Ocular Disease Classification Based on Deep Learning: Optimization and Web-Based Deployment for Comprehensive Ophthalmic Diagnosis

  • 会议论文

  • 发表日期：

    2025年

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  • Pham Le Duc Thinh,
  • Pham Ngoc Giau,
  • Dang Nguyen Nam Anh,
  • Tan Duy Le,
  • An Mai,
  • Nguyen Thanh Binh,
  • Nguyen Tan Viet Tuyen

摘要

The world is witnessing a significant rise in ocular diseases, affecting not only the elderly but also young adults and children due to the increasing use of electronic devices. In response, the goal of this research is to create an advanced method for the early identification of ocular diseases. The model used is EfficientNetB0 because it delivers high performance with fewer parameters, making it both effective and efficient. By applying various techniques in the pre-processing stage, the performance of the model achieved noticeable improvements. Finally, the findings indicate that the model outperforms others in diagnosing ocular diseases. This superior performance is integrated into a web platform that offers user-friendly online healthcare services, making advanced eye care accessible to a broader audience. The successful integration of the advanced model into a web-based platform will be able to highlight the potential for advanced, which can enhance the accessibility and accuracy of ocular disease diagnosis in reality.