An Approach to Detecting Diabetic Retinopathy Based on Integrated Shallow Convolutional Neural Networks

An Approach to Detecting Diabetic Retinopathy Based on Integrated Shallow Convolutional Neural Networks

The early detection of Diabetic Retinopathy (DR) is critical for diabetics to lower the blindness risks. Many studies represent that Deep Convolutional Neural Network (CNN) based approaches are effective to enable automatic DR detection through classifying retinal images of patients. Such approaches...

Full description

Bibliographic Details
Main Authors: Wanghu Chen, Bo Yang, Jing Li, Jianwu Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
diabetic retinopathy
image classification
integrated learning
performance integration
Online Access:https://ieeexplore.ieee.org/document/9208666/

Internet

https://ieeexplore.ieee.org/document/9208666/

Similar Items