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Now showing items 21-30 of 31
Chronic Tympanic Membrane Diagnosis based on Deep Convolutional Neural Network
(Ieee, 2019)
Chronic Otitis Media (COM) causes deformation of the middle ear ossicles with perforation as a result of long-lasting inflammation of the middle ear and it is one of the basic reasons for hearing loss. The middle ear images ...
A novel retinal vessel detection approach based on multiple deep convolution neural networks
(Elsevıer Ireland Ltd, 2018)
Background and objective: Computer aided detection (CAD) offers an efficient way to assist doctors to interpret fundus images. In a CAD system, retinal vessel (RV) detection is a crucial step to identify the retinal disease ...
A retinal vessel detection approach using convolution neural network with reinforcement sample learning strategy
(Elsevıer Scı Ltd, 2018)
Computer-aided detection (CAD) provides an efficient way to assist doctors to interpret fundus images. In a CAD system, retinal vessel (RV) detection is an important step to identify the retinal disease regions automatically ...
A Novel Approach Based on Image Processing Algorithms for Microaneurysm Candidate Detection
(Ieee, 2017)
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
(Ieee, 2017)
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 ...
A Retinal Verssel Detection Approach Using Convolution Neural Network
(Ieee, 2017)
Computer-aided detection (CAD) provides an efficient way to assist doctors to interpret fundus images. In a CAD system, retinal vessel (RV) detection is an important step to identify the retinal disease regions automatically ...
Deep Feature Extraction for Face Liveness Detection
(Ieee, 2018)
Face recognition is now widely being used to verify the identity of the person in various applications ranging from border crossing to mobile authentication. However, most face recognition systems are vulnerable to spoofing ...
Hand Gesture Recognition From Kinect Depth Images
(Ieee, 2015)
In this study, hand gesture classification method based on depth images is proposed. The proposed method is composed of thresholding, feature extraction, feature selection and classification stages. Hand segmentation on ...
Texture Classification Using Scale Invariant Feature Transform and Bag-of-Words
(Ieee, 2015)
Texture images can be characterized with key features extracted from images. In this way, they can be qualified with distinctive features. In this paper, a feature-based approach is presented for texture classification ...
Deep Learning based Face Liveness Detection in Videos
(Ieee, 2017)
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 ...
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