BioMedical Engineering OnLine, Volume (18), No (1), Year (2019-5)

Title : ( Microaneurysm detection in fundus images using a two-step convolutional neural network )

Authors: noushin eftekhari , Hamid Reza Pourreza , mojtaba masoudi , Kamaledin Ghiasi Shirazi , Ehsan Saeedi ,

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Background and objectives: Diabetic retinopathy (DR) is the leading cause of blindness worldwide, and therefore its early detection is important in order to reduce disease-related eye injuries. DR is diagnosed by inspecting fundus images. Since microaneurysms (MA) are one of the main symptoms of the disease, distinguishing this complication within the fundus images facilitates early DR detection. In this paper, an automatic analysis of retinal images using convolutional neural network (CNN) is presented. Methods: Our method incorporates a novel technique utilizing a two-stage process with two online datasets which results in accurate detection while solving the imbalance data problem and decreasing training time in comparison with previous studies. We have implemented our proposed CNNs using the Keras library. Results: In order to evaluate our proposed method, an experiment was conducted on two standard publicly available datasets, i.e., Retinopathy Online Challenge dataset and E-Ophtha-MA dataset. Our results demonstrated a promising sensitivity value of about 0.8 for an average of >6 false positives per image, which is competitive with state of the art approaches. Conclusion: Our method indicates significant improvement in MA-detection using retinal fundus images for monitoring diabetic retinopathy.


, Diabetic retinopathy (DR), Microaneurysm (MA), Deep learning, Convolutional neural network (CNN)
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author = {Eftekhari, Noushin and Pourreza, Hamid Reza and Masoudi, Mojtaba and Ghiasi Shirazi, Kamaledin and احسان سعیدی},
title = {Microaneurysm detection in fundus images using a two-step convolutional neural network},
journal = {BioMedical Engineering OnLine},
year = {2019},
volume = {18},
number = {1},
month = {May},
issn = {1475-925X},
keywords = {Diabetic retinopathy (DR); Microaneurysm (MA); Deep learning; Convolutional neural network (CNN)},


%0 Journal Article
%T Microaneurysm detection in fundus images using a two-step convolutional neural network
%A Eftekhari, Noushin
%A Pourreza, Hamid Reza
%A Masoudi, Mojtaba
%A Ghiasi Shirazi, Kamaledin
%A احسان سعیدی
%J BioMedical Engineering OnLine
%@ 1475-925X
%D 2019