Results 241 to 250 of about 188,294 (288)

Retinal image analysis: Concepts, applications and potential

Progress in Retinal and Eye Research, 2006
As digital imaging and computing power increasingly develop, so too does the potential to use these technologies in ophthalmology. Image processing, analysis and computer vision techniques are increasing in prominence in all fields of medical science, and are especially pertinent to modern ophthalmology, as it is heavily dependent on visually oriented ...
Patton, Niall, Aslam, Tariq M., MacGillivray, Thomas, Deary, Ian J., Dhillon, Baljean, Eikelboom, Robert H., Yogesan, Kanagasingam, Constable, Ian J.   +7 more
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Image Analysis for Microelectronic Retinal Prosthesis

IEEE Transactions on Biomedical Engineering, 2008
By way of extracellular, stimulating electrodes, a microelectronic retinal prosthesis aims to render discrete, luminous spots-so-called phosphenes-in the visual field, thereby providing a phosphene image (PI) as a rudimentary remediation of profound blindness.
L E, Hallum, S L, Cloherty, N H, Lovell
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Automated analysis of retinal images

Image and Vision Computing, 1993
We describe a method for segmenting retinal images into irregularly shaped primary regions which are bounded by vessels and other structures. Boundaries are classified using grey level models. We define a process of merging primary regions into large patches using image properties such as texture and intensity, and semantic interpretations of ...
Jasiobedzki, Piotr, Taylor, Chris J., Brunt, John NH   +2 more
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Retinal Image Analysis: A Review

International Journal of Computer and Communication Technology, 2012
Images of the eye ground or retina not only provide an insight to important parts of the visual system but also reflect the general state of health of the entire human body. Automated retina image analysis is becoming an important screening tool for early detection of certain risks and diseases like diabetic retinopathy, hypertensive retinopathy, age ...
S. R. Nirmala, Malaya Kumar Nath, Samarendra Dandapat   +2 more
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Image Analysis of Retinal Images

2011
The eye is sometimes said to provide a window into the health of a person for it is only in the eye that one can actually see the exposed flesh of the subject without using invasive procedures. That ‘exposed flesh’ is, of course, the retina, the light sensitive layer at the back of the eye. There are a number of diseases, particularly vascular disease,
Michael J. Cree, Herbert F. Jelinek
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Automated Analysis of Retinal Vascular Tortuosity on Color Retinal Images

Journal of Medical Systems, 2010
Recent advances in medical imaging modality have enabled us to identify new features in retinal vasculature. One of the features is retinal vascular tortuosity which has been shown to become a predictive factor for cardiovascular diseases and diabetes. The changes in retinal vascular tortuosity might be a sign of severity or improvement of the disease.
Alauddin, Bhuiyan, Baikunth, Nath, Kotagiri, Ramamohanarao, Ryo, Kawasaki, Tien Yin, Wong   +4 more
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Automated Retinal Image Analysis Over the Internet

IEEE Transactions on Information Technology in Biomedicine, 2008
Retinal clinicians and researchers make extensive use of images, and the current emphasis is on digital imaging of the retinal fundus. The goal of this paper is to introduce a system, known as retinal image vessel extraction and registration system, which provides the community of retinal clinicians, researchers, and study directors an integrated suite
Chia-Ling, Tsai, Benjamin, Madore, Matthew J, Leotta, Michal, Sofka, Gehua, Yang, Anna, Majerovics, Howard L, Tanenbaum, Charles V, Stewart, Badrinath, Roysam   +8 more
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Retinal imaging analysis based on vessel detection

Microscopy Research and Technique, 2017
AbstractWith an increase in the advancement of digital imaging and computing power, computationally intelligent technologies are in high demand to be used in ophthalmology cure and treatment. In current research, Retina Image Analysis (RIA) is developed for optometrist at Eye Care Center in Management and Science University.
Arshad Jamal, Mohammed Hazim Alkawaz, Amjad Rehman, Tanzila Saba   +3 more
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Retinal Image Analysis Using Machine Learning

2020 International Conference on Communication and Signal Processing (ICCSP), 2020
The morphology or structure of veins in retinal pictures is a significant marker of maladies like glaucoma, diabetic retinopathy and hypertension. The precision of veins in retinal image division influences the nature of retinal picture investigation which is utilized in analysis strategies in current ophthalmology.
S. Prabha, S. Sai Ranjith Kumar, G. Gopal Reddy, K.Sakthidasan Sankaran   +3 more
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Computerized retinal image analysis - a survey

Multimedia Tools and Applications, 2020
The speedy development of digital imaging and computer vision has extended the potential of using these technologies in ophthalmology. Image processing systems are increasingly prominent in medical diagnostic systems and especially to modern ophthalmology. The retinal images give information about the health of the visual system. Retinal diseases, such
Kanupriya Mittal, V. Mary Anita Rajam
openaire   +1 more source