[HTML][HTML] Automated microaneurysms detection for early diagnosis of diabetic retinopathy: A Comprehensive review

V Mayya, S Kamath, U Kulkarni - Computer Methods and Programs in …, 2021 - Elsevier
Diabetic retinopathy (DR), a chronic disease in which the retina is damaged due to small
vessel damage caused by diabetes mellitus, is one of the leading causes of vision …

DREAM: diabetic retinopathy analysis using machine learning

S Roychowdhury, DD Koozekanani… - IEEE journal of …, 2013 - ieeexplore.ieee.org
This paper presents a computer-aided screening system (DREAM) that analyzes fundus
images with varying illumination and fields of view, and generates a severity grade for …

Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey

TA Soomro, J Gao, T Khan, AFM Hani… - Pattern Analysis and …, 2017 - Springer
Eye-related disease such as diabetic retinopathy (DR) is a medical ailment in which the
retina of the human eye is smashed because of damage to the tiny retinal blood vessels in …

A successive clutter-rejection-based approach for early detection of diabetic retinopathy

K Ram, GD Joshi, J Sivaswamy - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
The presence of microaneurysms (MAs) is usually an early sign of diabetic retinopathy and
their automatic detection from color retinal images is of clinical interest. In this paper, we …

Automated lesion detectors in retinal fundus images

IN Figueiredo, S Kumar, CM Oliveira, JD Ramos… - Computers in biology …, 2015 - Elsevier
Diabetic retinopathy (DR) is a sight-threatening condition occurring in persons with diabetes,
which causes progressive damage to the retina. The early detection and diagnosis of DR is …

Automatic detection of microaneurysms and hemorrhages in digital fundus images

GB Kande, TS Savithri, PV Subbaiah - Journal of digital imaging, 2010 - Springer
An efficient approach for automatic detection of red lesions in ocular fundus images based
on pixel classification and mathematical morphology is proposed. Experimental evaluation …

[PDF][PDF] Automatic detection of diabetic retinopathy in non-dilated RGB retinal fundus images

SB SujithKumar, V Singh - International Journal of Computer …, 2012 - academia.edu
In this paper, a method for automatic detection of microaneurysms in digital eye fundus
image is described. To develop an automated diabetic retinopathy screening system, a …

Diabetic retinopathy diagnosis through computer-aided fundus image analysis: a review

J Kaur, D Mittal, R Singla - Archives of Computational Methods in …, 2022 - Springer
Diabetic retinopathy, initially symptomless medical condition of diabetes, is one of the
significant reasons of vision impairment all over the world. The early detection and diagnosis …

[LIBRO][B] Eye fundus image analysis for automatic detection of diabetic retinopathy

T Kauppi - 2010 - lutpub.lut.fi
Diabetes is a rapidly increasing worldwide problem which is characterised by defective
metabolism of glucose that causes long-term dysfunction and failure of various organs. The …

Improving microaneurysm detection in color fundus images by using context-aware approaches

B Antal, A Hajdu - Computerized Medical Imaging and Graphics, 2013 - Elsevier
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 …