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A novel microaneurysms detection approach based on convolutional neural networks with reinforcement sample learning algorithm
(Bıomed Central Ltd, 2017)
Microaneurysms (MAs) are known as early signs of diabetic-retinopathy which are called red lesions in color fundus images. Detection of MAs in fundus images needs highly skilled physicians or eye angiography. Eye angiography ...
A Novel Approach Based on Image Processing Algorithms for Microaneurysm Candidate Detection
Interpretting color fundus images by doctors is enhanced by computer-aided detection (CAD). Microaneurysm (MA) detection in CAD is an important step to identify the retinal diseases automatically. However, MA detection is ...
Localization of Macular Edema Region from Color Retinal Images for Detection of Diabetic Retinopathy
Exudates are among the first signs of diabetic retinopathy and one of the main causes of vision loss in diabetic patients. In this study, an approach based on clustering and morphological image processing has been proposed ...
Deep Learning based Face Liveness Detection in Videos
The human face is an important biometric quantity which can be used to access a user-based system. As human face images can easily be obtained via mobile cameras and social networks, user-based access systems should be ...