Microaneurysm detection in fundus images using a two-step convolutional neural network

Microaneurysm detection in fundus images using a two-step convolutional neural network

Abstract 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 symptom...

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Bibliographic Details
Main Authors: Noushin Eftekhari, Hamid-Reza Pourreza, Mojtaba Masoudi, Kamaledin Ghiasi-Shirazi, Ehsan Saeedi
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BioMedical Engineering OnLine
Subjects:
Diabetic retinopathy (DR)
Microaneurysm (MA)
Deep learning
Convolutional neural network (CNN)
Online Access:http://link.springer.com/article/10.1186/s12938-019-0675-9

Internet

http://link.springer.com/article/10.1186/s12938-019-0675-9

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