Blindness (Diabetic Retinopathy) Severity Scale Detection

10/04/2021
by   Ramya Bygari, et al.
28

Diabetic retinopathy (DR) is a severe complication of diabetes that can cause permanent blindness. Timely diagnosis and treatment of DR are critical to avoid total loss of vision. Manual diagnosis is time consuming and error-prone. In this paper, we propose a novel deep learning based method for automatic screening of retinal fundus images to detect and classify DR based on the severity. The method uses a dual-path configuration of deep neural networks to achieve the objective. In the first step, a modified UNet++ based retinal vessel segmentation is used to create a fundus image that emphasises elements like haemorrhages, cotton wool spots, and exudates that are vital to identify the DR stages. Subsequently, two convolutional neural networks (CNN) classifiers take the original image and the newly created fundus image respectively as inputs and identify the severity of DR on a scale of 0 to 4. These two scores are then passed through a shallow neural network classifier (ANN) to predict the final DR stage. The public datasets STARE, DRIVE, CHASE DB1, and APTOS are used for training and evaluation. Our method achieves an accuracy of 94.80 outperform many state-of-the-art methods.

READ FULL TEXT

page 1

page 2

page 4

page 5

research
10/18/2018

Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program

Deep learning algorithms have been used to detect diabetic retinopathy (...
research
03/06/2021

Multitasking Deep Learning Model for Detection of Five Stages of Diabetic Retinopathy

This paper presents a multitask deep learning model to detect all the fi...
research
12/30/2019

Early Detection of Diabetic Retinopathy and Severity Scale Measurement: A Progressive Review Scopes

Early detection of diabetic retinopathy prevents visual loss and blindne...
research
06/23/2021

A Label Management Mechanism for Retinal Fundus Image Classification of Diabetic Retinopathy

Diabetic retinopathy (DR) remains the most prevalent cause of vision imp...
research
03/15/2021

DiaRet: A browser-based application for the grading of Diabetic Retinopathy with Integrated Gradients

Diabetes is a metabolic disorder that results from defects in autoimmune...
research
08/31/2018

Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading Kang

Diabetic Retinopathy (DR) is a non-negligible eye disease among patients...
research
04/03/2020

Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks

Retinopathy of Prematurity (ROP) is an eye disorder primarily affecting ...

Please sign up or login with your details

Forgot password? Click here to reset