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What is Automated Eye Disease Detection System about?

The document discusses the development of an automated system for cataract detection and classification using a novel model called EyeDNet, which combines Convolutional Neural Networks (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) techniques. It highlights the challenges of traditional cataract grading methods, including subjectivity and the need for expensive equipment, and proposes a solution that utilizes smartphone images for more accessible and efficient diagnosis. The research aims to improv

Author

abdulganiyysaheed210

Language

EN