To Develop An Optimal Classifier For The diagnosis Of Diabetic Retinal Images Using Computational Intelligence Techniques.
Author(s):
Pradnya Bhagwant Sawade, Dr. V L Agrawal
Keywords:
Neural network, Microsoft excel, MatLab, normal and diabetic retina scan images.
Abstract
In this paper classification normal and diabetic retina scan images , which uses the FFT transform over the retina images as feature detector and a constructive one hidden layer Generalized feed forward neural network as classification normal and diabetic retina scan images classifier technique is applied to a database consisting of images of 145 having normal and dibetic retina scan images. It is demonstrated that the best recognition rates are 99.70%. Finally, optimal algorithm has been developed on the basis of the best classifier performance. The algorithm will provide an effective alternative method of Classification of Diabetic Retinopathy using Neural Network Approach.
Article Details
Unique Paper ID: 154485

Publication Volume & Issue: Volume 8, Issue 11

Page(s): 268 - 273
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 9 Issue 10

Last Date for paper submitting for March Issue is 25 March 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies