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Human Eye Disease Detection Using CNN

Year: 2025
Type: article
Abstract: 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
Language: English
Field: Medicine
Open Access status: diamond
OpenAlex ID: W4411092568
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