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Cataract Detection Using CNN Technology by Djihene Babahenini is a document available to read on EtoBox.
What is Cataract Detection Using CNN Technology about?
The research presents a cataract detection system using Convolutional Neural Networks (CNN) to classify eye images as normal or indicative of cataracts. The system achieved a 98% success rate in identifying normal eye images and effectively detected cataracts through grayscale imaging. This technology aims to facilitate early cataract detection, potentially reducing blindness prevalence in Indonesia.
- Author
- Djihene Babahenini
- Language
- EN