This paper is published in Volume-8, Issue-3, 2022
Area
Machine Learning
Author
J. L. Sai Maneesh Reddy, T. Krishna Mohan Reddy, Komanduri Chandrika
Org/Univ
Jain University, Bengaluru, Karnataka, India
Pub. Date
21 June, 2022
Paper ID
V8I3-1349
Publisher
Keywords
Machine Learning, Diabetic Retinopathy, Convolutional Neural Network, Deep Learning, Data Augmentation, Max Pooling, Metrics, Optimizers.

Citationsacebook

IEEE
J. L. Sai Maneesh Reddy, T. Krishna Mohan Reddy, Komanduri Chandrika. Diabetic retinopathy detection using Machine Learning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
J. L. Sai Maneesh Reddy, T. Krishna Mohan Reddy, Komanduri Chandrika (2022). Diabetic retinopathy detection using Machine Learning. International Journal of Advance Research, Ideas and Innovations in Technology, 8(3) www.IJARIIT.com.

MLA
J. L. Sai Maneesh Reddy, T. Krishna Mohan Reddy, Komanduri Chandrika. "Diabetic retinopathy detection using Machine Learning." International Journal of Advance Research, Ideas and Innovations in Technology 8.3 (2022). www.IJARIIT.com.

Abstract

This project is a machine learning model about "Diabetic Retinopathy detection using AI" Detection of Diabetic Retinopathy: Diabetic retinopathy is a diabetes complication that affects the eyes. It's caused by damage to the blood vessels of the light-sensitive tissue at the back of the eye (retina). At first, diabetic retinopathy might cause no symptoms or only mild vision problems. Risk Factors: Diabetes; Tobacco smoking Diseases or conditions caused: Blindness.