» Articles » PMID: 24290931

Computer-aided Diagnosis of Diabetic Retinopathy: a Review

Overview
Journal Comput Biol Med
Publisher Elsevier
Date 2013 Dec 3
PMID 24290931
Citations 78
Authors
Affiliations
Soon will be listed here.
Abstract

Diabetes mellitus may cause alterations in the retinal microvasculature leading to diabetic retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be tedious and time consuming to decipher subtle morphological changes in optic disk, microaneurysms, hemorrhage, blood vessels, macula, and exudates through manual inspection of fundus images. A computer aided diagnosis system can significantly reduce the burden on the ophthalmologists and may alleviate the inter and intra observer variability. This review discusses the available methods of various retinal feature extractions and automated analysis.

Citing Articles

Diagnostic accuracy of artificial intelligence models in detecting congenital heart disease in the second-trimester fetus through prenatal cardiac screening: a systematic review and meta-analysis.

Liastuti L, Nursakina Y Front Cardiovasc Med. 2025; 12:1473544.

PMID: 40066351 PMC: 11891181. DOI: 10.3389/fcvm.2025.1473544.


An attentional mechanism model for segmenting multiple lesion regions in the diabetic retina.

Xu C, He S, Li H Sci Rep. 2024; 14(1):21354.

PMID: 39266650 PMC: 11392929. DOI: 10.1038/s41598-024-72481-1.


Effect of High-Sucrose Diet on the Occurrence and Progression of Diabetic Retinopathy and Dietary Modification Strategies.

Yang C, Yu Y, An J Nutrients. 2024; 16(9).

PMID: 38732638 PMC: 11085904. DOI: 10.3390/nu16091393.


A novel estimator for the two-way partial AUC.

Chaibub Neto E, Yadav V, Sieberts S, Omberg L BMC Med Inform Decis Mak. 2024; 24(1):57.

PMID: 38378636 PMC: 10877829. DOI: 10.1186/s12911-023-02382-2.


A GAN-based deep enhancer for quality enhancement of retinal images photographed by a handheld fundus camera.

Fu J, Cao L, Wei S, Xu M, Song Y, Li H Adv Ophthalmol Pract Res. 2023; 2(3):100077.

PMID: 37846289 PMC: 10577846. DOI: 10.1016/j.aopr.2022.100077.