• Gaurav
• Dr. Manoj Kumar Garg
• Rajan Punchouty

As the current graph of diabetes patients count is increasing day by day. It has become a clear platform of research. The latest study has cleared the role of Diabetes Mellitus (DM) in this increasing diabetic macular edema (DME). And also it proved that is effects on the vision of the patients. It is mostly studied by the position of macula. Bu the traditional way of doing this is less effective and slow in the process which is often termed as fundus imaging SO here the research is working to reduce this time of operation and increase the operating efficiency. This is done by operating on clusters of hybrid techniques. So here discrete wavelet transforms and fast Fourier transform has been applied and the classification technique applied here is Convolution neural network (CNN) are used. The improved pictures are subjected to RT to get histograms by using k-mann clustering technique the features are extracted. Lastly, numerous administered classifiers are cast-off to categories 3 lessons by means of important structures. The planned method produced an organization correctness of 96.46% using two important topographies for community (Kaggle) datasets.

Decision support system, Diabetic macular edema, Discrete cosine transform, Discrete wavelet transform, Fundus imaging, Locality sensitive discriminant analysis, Radon transform, CNN”

"A Novel Approach for the analysis of OCT image in Diabetic Maculopathy using DWT and CNN ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.f136-f145, July-2022, Available :http://www.jetir.org/papers/JETIR2207518.pdf

"A Novel Approach for the analysis of OCT image in Diabetic Maculopathy using DWT and CNN ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppf136-f145, July-2022, Available at : http://www.jetir.org/papers/JETIR2207518.pdf