Published October 3, 2022 | Version v1
Journal article Open

AN EFFICIENT CONVOLUTIONAL NEURAL NETWORK BASED DIABETIC RETINOPATHY IN MEDICAL IMAGES

Authors/Creators

Description

On success of our project we can quickly detect Diabetic Retinopathy with high accuracy from our trained neural network and our system will help to reduce the damage cause by diabetic retinopathy at early stage. We have created a webapp for the client where the client can use its username and password credentials to login in our system and use dashboard to interact with our system. Our report generation system will give analysis of patient’s eye and will help doctors to take quick action .Our system can be further enhanced by training our neural network model on different eye disease so one can get one stop solution for all eye diseases.

Files

AN EFFICIENT CONVOLUTIONAL NEURAL NETWORK BASED DIABETIC RETINOPATHY IN MEDICAL IMAGES.pdf

Additional details

References

  • [1] Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy ,Imran Qureshi, Jun Ma,2019
  • [2] Indian Diabetic Retinopathy Image Dataset (IDRiD): A Database for Diabetic Retinopathy Screening Research,Prasanna Porwal, Samiksha Pachade,2018
  • [3] A Brief Review of the Detection of Diabetic Retinopathy in Human Eyes Using Pre-Processing & Segmentation Techniques ,Yogesh Kumaran, Chandrashekar M. Patil,2018