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....

In this paper, we present two approaches to improve microaneurysm detector ensembles. First, we provide an approach to select a set of preprocessing methods for a microaneurysm candidate extractor to enhance its detection performance in color fundus images. The performance of the candidate extractor with each preprocessing method is measured in six microaneurysm categories. The best performing ...

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...

Diabetes is a metabolic disease which damage blood vessel. Damage in retinal blood vessel of the human eye due to effect of diabetes is termed as Diabetic Retinopathy (DR). This abnormality in the blood vessel will cause a leakage of blood from the vessel and forms a red dot. This is named as Microaneurysm. Microaneurysm in the retina causes a swelling of retinal tissue which in turn causes clo...

In this paper, we present a novel approach to improve microaneurysm candidate extraction in color fundus images. The individual algorithms published so far can be hardly considered in an automatic screening system. To improve further the sensitivity, specificity and image classification rate of microaneurysm detection we propose an appropriate combination of individual algorithms. Thus, we inve...

Diabetic retinopathy is a serious complication of diabetes and major cause of blindness. Therefore early detection through regular screening will be highly beneficial in effectively controlling the progress of the disease. Microaneurysms are the early signs of Diabetic retinopathy and appear as mall red dots. The number of microaneurysms gives the severity of the disease. Early microaneurysm de...

Diabetic Retinopathy (DR) is the leading ophthalmic pathological reason of blindness among people of working age in developed countries. The main cause of DR is abnormal blood glucose level rise, which damages vessel endothelium, causing an increase in the vessel permeability. The initial manifestations of DR are tiny capillary dilations known as microaneurysms. A method for automatic detection...

In medical image processing a reliable means of microaneurysms detection in digital retinal images is still an open issue. In this paper, we propose a computerized scheme to improve microaneurysm detection. Image preprocessing is followed by the detection of microaneurysm regions using edge detection. Regions corresponding to blood vessels and bright lesions were removed by image segmentation f...

BACKGROUND/AIMS Automated grading has the potential to improve the efficiency of diabetic retinopathy screening services. While disease/no disease grading can be performed using only microaneurysm detection and image-quality assessment, automated recognition of other types of lesions may be advantageous. This study investigated whether inclusion of automated recognition of exudates and haemorrh...

Diabetic Retinopathy (DR) is a fast-growing retinal disease happens as result of exponential growth in sugar level blood which diminishes eyesight. The severity identification this eye disorder performed by ophthalmologists due to scarcity good software for finding DR. initial stage diabetic retinopathy identified the presence microaneurysm. This paper conducts phase detection using Convolution...