📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 7, ISSUE 3, MARCH 2018

Diabetic Retinopathy Identification using Object Detection Method

Prof. Gauri R. Rao, Alankrita Srivastava, Pooja R. Patil, Dhruv Datta

DOI: 10.17148/IJARCCE.2018.7378

Abstract: Diabetic retinopathy, also known as diabetic disease for eye. In this disease, damages occur to retina of patient. 90% of the cases can be reduced by large number by identifying and providing proper treatment patient�s. So, there is need of such approach in which diabetic retinopathy identification can be done easily. So, proposed approach uses python and different object detection techniques to determine if the provided image is affected by diabetic eye disease or not.



Keywords: Diabetes, Diabetic retinopathy, Object Detection, Retinopathy, Eye Disease.

How to Cite:

[1] Prof. Gauri R. Rao, Alankrita Srivastava, Pooja R. Patil, Dhruv Datta, “Diabetic Retinopathy Identification using Object Detection Method,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2018.7378