Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm

F Ren, P Cao, W Li, D Zhao, O Zaiane - Computerized Medical Imaging and …, 2017 - Elsevier
Diabetic retinopathy (DR) is a progressive disease, and its detection at an early stage is
crucial for saving a patient's vision. An automated screening system for DR can help in …

An ensemble-based system for microaneurysm detection and diabetic retinopathy grading

B Antal, A Hajdu - IEEE transactions on biomedical engineering, 2012 - ieeexplore.ieee.org
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 …

Automatic microaneurysm detection using the sparse principal component analysis-based unsupervised classification method

W Zhou, C Wu, D Chen, Y Yi, W Du - IEEE access, 2017 - ieeexplore.ieee.org
Since microaneurysms (MAs) can be seen as the earliest lesions in diabetic retinopathy, its
detection plays a critical role in the diabetic retinopathy diagnosis. In recent years, many …

Microaneurysm detection in color eye fundus images for diabetic retinopathy screening

T Melo, AM Mendonça, A Campilho - Computers in biology and medicine, 2020 - Elsevier
Diabetic retinopathy (DR) is a diabetes complication, which in extreme situations may lead
to blindness. Since the first stages are often asymptomatic, regular eye examinations are …

A multi-level ensemble-based system for detecting microaneurysms in fundus images

B Antal, I Lazar, A Hajdu, Z Török… - … Workshop on Soft …, 2010 - ieeexplore.ieee.org
In this paper, we present a complex approach to improve microaneurysm detection in color
fundus images. Microaneurysms are early signs of diabetic retinopathy, so it is essential to …

Automated detection of microaneurysms using scale-adapted blob analysis and semi-supervised learning

KM Adal, D Sidibé, S Ali, E Chaum… - Computer methods and …, 2014 - Elsevier
Despite several attempts, automated detection of microaneurysm (MA) from digital fundus
images still remains to be an open issue. This is due to the subtle nature of MAs against the …

[HTML][HTML] Detection of microaneurysms in retinal images using an ensemble classifier

MM Habib, RA Welikala, A Hoppe, CG Owen… - Informatics in Medicine …, 2017 - Elsevier
This paper introduces, and reports on the performance of, a novel combination of algorithms
for automated microaneurysm (MA) detection in retinal images. The presence of MAs in …

Identification and classification of microaneurysms for early detection of diabetic retinopathy

MU Akram, S Khalid, SA Khan - Pattern recognition, 2013 - Elsevier
Diabetic retinopathy is a progressive eye disease which may cause blindness if not detected
and treated in time. The early detection and diagnosis of diabetic retinopathy is important to …

New hierarchical approach for microaneurysms detection with matched filter and machine learning

J Wu, J Xin, L Hong, J You… - 2015 37th Annual …, 2015 - ieeexplore.ieee.org
Microaneurysms are regarded as the first signs of diabetic retinopathy (DR), but the
microaneurysms are not clear in the color retinal images, and many researches were …

Retinal microaneurysms detection using local convergence index features

B Dashtbozorg, J Zhang, F Huang… - … on Image Processing, 2018 - ieeexplore.ieee.org
Retinal microaneurysms (MAs) are the earliest clinical sign of diabetic retinopathy disease.
Detection of MAs is crucial for the early diagnosis of diabetic retinopathy and prevention of …