Diabetic Retinopathy Detection Using Prognosis of Microaneurysm and Early Diagnosis System for Non-Proliferative Diabetic Retinopathy Based on Deep Learning Algorithms

Automated microaneurysm detection in diabetic retinopathy using curvelet transform.

Microaneurysms (MAs) are known to be the early signs of diabetic retinopathy (DR). An automated MA detection system based on curvelet transform is proposed for color fundus image analysis. Candidates of MA were extracted in two parallel steps. In step one, blood vessels were removed from preprocessed green band image and preliminary MA candidates were selected by local thresholding technique. I...

Automatic Microaneurysm Quantification for Diabetic Retinopathy Screening

Microaneurysm is a key indicator of diabetic retinopathy that can potentially cause damage to retina. Early detection and automatic quantification are the keys to prevent further damage. In this paper, which focuses on automatic microaneurysm detection in images acquired through non-dilated pupils, we present a series of experiments on feature selection and automatic microaneurysm pixel classif...

A Survey for Automatic Detection of Non- Proliferative Diabetic Retinopathy

Diabetic Retinopathy (DR) is a common symptom of diabetes which is one of the world’s leading causes of blindness. There are many techniques and algorithms that helps to diagnose DR in retinal fundus images. This paper reviews, classifies and compares the algorithms and techniques previously proposed in order to develop better and more effective algorithms.

The Communal System for Early Detection Microaneurysm and Diabetic Retinopathy Grading Through Color Fundus Images

Reliable microaneurysm detection in digital fundus images is still an open issue in medical image processing. We propose an ensemble-based framework to improve microaneurysm detection. Unlike the well-known approach of considering the output of multiple classifiers, we propose a combination of internal components of microaneurysm detectors, namely preprocessing methods and candidate extractors....

Proliferative diabetic retinopathy.