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Retinal Disease Prediction via Deep Learning by Nahid Hasan is a document available to read on EtoBox.

What is Retinal Disease Prediction via Deep Learning about?

This document discusses using deep neural networks to predict diseases based on retinal images. It proposes segmenting blood vessels from retinal images using deep learning, classifying the vessels as arteries or veins, measuring the widths of vessels, and using these measurements as features to predict cardiovascular and other diseases using support vector machines. The key steps are vessel segmentation using an active contour model, artery/vein classification with SVM, calculating retinal vascular caliber

Author

Nahid Hasan

Language

EN