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Retinal Disease Detection via Deep Learning by ADUSUMALLIRAJIV 19BCD7101 is a document available to read on EtoBox.

What is Retinal Disease Detection via Deep Learning about?

This document is a capstone project report submitted in partial fulfillment of the Bachelor of Technology degree in Computer Science and Engineering. The project aims to develop a deep learning model for disease identification and retinal fundus scan correction. The model uses convolutional neural networks for disease risk prediction and classification, and variational autoencoders for scan correction. The report includes chapters on objectives, background research, proposed methodology, results and discuss

Author

ADUSUMALLIRAJIV 19BCD7101

Language

EN