Diabetic retinopathy diagnosis using ensemble deep learning.

Anstract :  Diabetic retinopathy also known as diabetic eye disease, is a medical condition in which damage occurs to the retina due to diabetes mellitus.  It is a major cause of blindness. Although many artificial intelligence methods has been applied to diabetic retinopathy diagnosis. This method is a new approach in this problem domain. It’s early detection can help in tackling the future  damages due to the disease. Here, model is ensemble of pre-existing GooleNet, AlexNet and ResNet50. The best machine learning models that were used was GoogLeNet achieving highest accuracy for this job. Here, The results are standing out with the GooLeNet’s accuracy. 

This paper was accepted for publication and oral presentation at ISCAI, 2019 held at University of British Colombia, Vancouver, Canada. Soon it will be available at online databases such as google-scholar, scopus, etc.