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Deep Learning for Eye Disease Detection by nishkalpana2 is a document available to read on EtoBox.

What is Deep Learning for Eye Disease Detection about?

This study presents a deep learning algorithm designed to classify ocular diseases, achieving 97% efficiency across various metrics. The proposed convolutional neural network utilizes digital image processing techniques, including blur filters and the Canny edge detector, to enhance feature detection. The model effectively differentiates healthy eyes from diseased ones and classifies conditions such as cataract, diabetic retinopathy, and glaucoma.

Author

nishkalpana2

Language

EN