Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms

Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms

Abstract Background Convolution neural networks have been considered for automatic analysis of fundus images to detect signs of diabetic retinopathy but suffer from low sensitivity. Methods This study has proposed an alternate method using probabilistic output from Convolution neural network to auto...

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Bibliographic Details
Main Authors: Parham Khojasteh, Behzad Aliahmad, Dinesh K. Kumar
Format: Article
Language:English
Published: BMC 2018-11-01
Series:BMC Ophthalmology
Subjects:
Fundus image analysis
Diabetic retinopathy
Deep learning
Convolutional neural networks
Image processing
Online Access:http://link.springer.com/article/10.1186/s12886-018-0954-4

Internet

http://link.springer.com/article/10.1186/s12886-018-0954-4

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