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RETINAL IMAGES

open access: yesMalaysian Family Physician, 2006
Keah Say Hien, Chng Kooi Seng
doaj   +2 more sources

Retinal Imaging and Image Analysis [PDF]

open access: yesIEEE Reviews in Biomedical Engineering, 2010
Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses on retinal imaging and image analysis. Following a brief overview of the most prevalent causes of blindness in the industrialized world that includes age ...
Abramoff, M.D.   +2 more
openaire   +3 more sources

Translational Retinal Imaging

open access: yesAsia-Pacific Journal of Ophthalmology, 2020
The diagnosis and treatment of medical retinal disease is now inseparable from retinal imaging in all its multimodal incarnations. The purpose of this article is to present a selection of very different retinal imaging techniques that are truly translational, in the sense that they are not only new, but can guide us to new understandings of disease ...
Orellanos-Rios, Jorge   +5 more
openaire   +2 more sources

Retinal imaging in inherited retinal diseases

open access: yesAnnals of Eye Science, 2020
Inherited retinal diseases (IRD) are a leading cause of blindness in the working age population. The advances in ocular genetics, retinal imaging and molecular biology, have conspired to create the ideal environment for establishing treatments for IRD, with the first approved gene therapy and the commencement of multiple therapy trials.
Georgiou, Michalis   +2 more
openaire   +2 more sources

Automated image curation in diabetic retinopathy screening using deep learning

open access: yesScientific Reports, 2022
Diabetic retinopathy (DR) screening images are heterogeneous and contain undesirable non-retinal, incorrect field and ungradable samples which require curation, a laborious task to perform manually.
Paul Nderitu   +8 more
doaj   +1 more source

Improvement of Retinal Images Affected by Cataracts

open access: yesPhotonics, 2022
Eye fundus images are used in clinical diagnosis for the detection and assessment of retinal disorders. When retinal images are degraded by scattering due to opacities of the eye tissues, the precise detection of abnormalities is complicated depending on
Enrique Gonzalez-Amador   +5 more
doaj   +1 more source

Fractal dimension of retinal vasculature as an image quality metric for automated fundus image analysis systems

open access: yesScientific Reports, 2022
Automated fundus screening is becoming a significant programme of telemedicine in ophthalmology. Instant quality evaluation of uploaded retinal images could decrease unreliable diagnosis.
Xingzheng Lyu   +3 more
doaj   +1 more source

M2U-net: Effective and efficient retinal vessel segmentation for real-world applications [PDF]

open access: yes, 2020
In this paper, we present a novel neural network architecture for retinal vessel segmentation that improves over the state of the art on two benchmark datasets, is the first to run in real time on high resolution images, and its small memory and ...
Jalali, S., Laibacher, T., Weyde, T.
core   +1 more source

Intelligent Diagnosis of Multiple Peripheral Retinal Lesions in Ultra-widefield Fundus Images Based on Deep Learning

open access: yesOphthalmology and Therapy, 2023
Introduction Compared with traditional fundus examination techniques, ultra-widefield fundus (UWF) images provide 200° panoramic images of the retina, which allows better detection of peripheral retinal lesions.
Tong Wang   +13 more
doaj   +1 more source

Influence of Different Types of Retinal Cameras on the Performance of Deep Learning Algorithms in Diabetic Retinopathy Screening

open access: yesLife, 2022
Background: The aim of this study was to assess the performance of regional graders and artificial intelligence algorithms across retinal cameras with different specifications in classifying an image as gradable and ungradable.
Ramyaa Srinivasan   +4 more
doaj   +1 more source

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