Diabetic Retinopathy Detection using Neural Networking

Abstract

The clinical and laboratory studies states that diabetic retinopathy is the major cause of permanent blindness among the aged personalities. The problem with this disease is that there is no cure for it and the only thing we can do is to detect the disease as soon as possible in order to prevent further loss of vision. In this system we propose a CNN approach for diagnosing DR from retinal images and classifying the stages of the disease .The classification is done based on the haemorrhages, micro aneurysms present in the retinal image. We train this network using a high end graphics processor unit GPU using kaggle data set and the disease classification is done, hence we can identify the the disease and prevent the further loss of vision. N Rahul | Roy Eluvathingal | Sanith Jayan K | Mr. Anil Antony "Diabetic Retinopathy Detection using Neural Networking" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31487.pdf

Authors and Affiliations

N Rahul | Roy Eluvathingal | Sanith Jayan K | Mr. Anil Antony

Keywords

Related Articles

Air Quality Prediction using Seaborn and TensorFlow

Air quality is considered as a vital issue in the current world and is the underlying driver of sicknesses identified with respiratory organ, skin malignant growth, corrosive downpour and a worldwide temperature alterati...

The Importance of Intellectual Property in the Formation of an Innovative Economy

In todays dynamically changing era, countries determine their development path through the development of intellectual property. The introduction of limitless scientific achievements in all spheres of society requires fu...

Child Sexual Abuse in India Current Issues

The World Health Organization WHO defines Child Sexual Abuse CSA as ""the involvement of a child in sexual activity that he or she does not fully comprehend, is unable to give informed consent to, or for which the child...

Nano Scale Surface Characterization of Poly Ethyleneterephthalate Silicon Rubber Copolymers using Atomic Force Microscopy

Atomic force microscopy has been used to investigated the surface properties of different materials, in this paper it is used to measure the surface roughness and surface adhesive force of three different membrane sample...

Reducing Maternal and Child Mortality in West Africa Improve Health Indicators for Mother and Child Well Being

World Health Organization provides reliable information about health performance of countries around the global. In most of their periodical data, sub Saharan Africa kept performing poorly in relation to most health indi...

Download PDF file
  • EP ID EP686559
  • DOI -
  • Views 117
  • Downloads 0

How To Cite

N Rahul, Roy Eluvathingal, Sanith Jayan K (2020). Diabetic Retinopathy Detection using Neural Networking. International Journal of Trend in Scientific Research and Development, 4(4), -. https://europub.co.uk/articles/-A-686559