Automatic Detection of Diabetic Retinopathy Retinal Images Using Artificial Neural Network

Syamimi Mardiah Shaharum; Nurul Hajar Hashim; Nurhafizah Abu Talip Yusof; Mohamad Shaiful Abdul Karim; Ahmad Afif Mohd Faudzi

doi:10.1007/978-981-13-3708-6_43

BOOK-CHAPTER

Automatic Detection of Diabetic Retinopathy Retinal Images Using Artificial Neural Network

Syamimi Mardiah Shaharum Nurul Hajar Hashim Nurhafizah Abu Talip Yusof Mohamad Shaiful Abdul Karim Ahmad Afif Mohd Faudzi

Year: 2019 Lecture notes in electrical engineering Pages: 495-503 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-13-3708-6_43

Get Full-Text PDF Get Analytical Report

Keywords:

Diabetic retinopathy Computer science Blindness Artificial intelligence Artificial neural network Feature (linguistics) Retinopathy Process (computing) Population Pattern recognition (psychology) Retinal Medicine Optometry Computer vision Ophthalmology Diabetes mellitus

Metrics

Cited By

2.87

FWCI (Field Weighted Citation Impact)

Refs

0.91

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Retinal Imaging and Analysis

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Retinal Diseases and Treatments

Health Sciences → Medicine → Ophthalmology

Automatic Detection of Diabetic Retinopathy Retinal Images Using Artificial Neural Network

Metrics

Citation History

Topics

Related Documents

Diabetic Retinopathy Detection on Retinal Fundus Images Using Convolutional Neural Network

Automatic detection of non-proliferative diabetic retinopathy in retinal fundus images using convolution neural network

An Automatic Detection of Blood Vessel in Retinal Images Using Convolution Neural Network for Diabetic Retinopathy Detection

Prediction diabetic retinopathy from retinal fundus images via artificial neural network

Diabetic Retinopathy Detection Using Retinal Images