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Now showing items 11-20 of 25
Deep Convolutional Neural Networks for Airport Detection in Remote Sensing Images
(Ieee, 2018)
This study investigated the use of deep convolutional neural networks (CNNs) in providing a solution for the problem of airport detection in remote sensing images (RSIs). In recent years, Deep CNNs have gained much attention ...
Neutrosophic Hough Transform
(Mdpı Ag, 2017)
Hough transform (HT) is a useful tool for both pattern recognition and image processing communities. In the view of pattern recognition, it can extract unique features for description of various shapes, such as lines, ...
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 Retinal Vessel Detection Approach Based on Shearlet Transform and Indeterminacy Filtering on Fundus Images
(Mdpı, 2017)
A fundus image is an effective tool for ophthalmologists studying eye diseases. Retinal vessel detection is a significant task in the identification of retinal disease regions. This study presents a retinal vessel detection ...
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 ...