Human Eye Disease Detection Using CNN
Eye diseases such as glaucoma and cataract lead to severe vision loss. Early detection is essential but often delayed due to lack of specialists. This study presents a deep learning-based system using Convolutional Neural Networks (CNN) to automatically detect these conditions from retinal images. Our model achieved promising accuracy, providing a reliable, fast, and scalable diagnostic tool
Authors
- Rishikesh P. Chavan
Publication Details
- Journal
- International Journal for Research in Applied Science and Engineering Technology
- Published
- 2025-06-06
- DOI
- https://doi.org/10.22214/ijraset.2025.70865
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00