Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 22 for “"Retinal images"”.
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Artifact removal in digital retinal images
… impairment that could be addressed or prevented. Retinal imaging is a key step in the diagnosis and follow-up of major causes of visual impairment. As much as 20% of retinal images collected in the population are affected by artifacts, that render them ungradable both by expert graders and by the …
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Detection of micro-aneurysms in low-resolution color retinal images
… detection. From photographic and angiographic images, an experienced physician can find a lot of useful information to assess the development and progression of diabetic retinopathy, but this procedure is time-consuming. Automatic detection of indicators of diabetic retinopathy is a more …
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Computer analysis for registration and change detection of retinal images
The current system of retinal screening is manual; It requires repetitive examination of a large number of retinal images by professional optometrists who try to identify the presence of abnormalities. As a result of the manual and repetitive nature of such examination, there is a possibility for …
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AI-driven identification of melanoma risk factors using choroidal nevi retinal images
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms
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A novel automated approach of multi-modality retinal image registration and fusion
… and area-based registration and fusion of retinal images has been successfully designed and developed. The new algorithm, which is reliable and time-efficient, has an automatic adaptation from frame to frame with few tunable threshold parameters. The reference and the to-be-registered …
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Unsupervised learning of invariant object representation in primate visual cortex
… that selectivity across variations in the images. A reasonably sized population of these tolerant neurons can support object recognition. However, we do not yet understand how IT neurons construct this neuronal tolerance. The aim of this thesis is to tackle this question and to examine the …
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Adaptation to Interocular Differences in Blur
… in refractive errors. Observers adapted to images that were isotropically blurred or sharpened by varying the slope of the amplitude spectrum, or to oriented blur in images filtered to simulate different levels and axes of astigmatism. Adaptation to both types of blur produced strong …
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Neural mechanisms underlying core visual perception of objects
… objects; and how IT responses are produced from retinal images of objects. The goal of this research is to tackle these two related questions and find out explicit, quantitative mechanisms that describe human core visual perception of objects, a remarkable ability achieved with brief (<200ms) …
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A Hybrid Similarity Measure Framework for Multimodal Medical Image Registration
… (MIR) to align either mono or multimodal images of different anatomical parts of the human body. MIR utilises a similarity measure (SM) to quantify the level of spatial alignment and is particularly demanding due to the presence of inherent modality characteristics like intensity …
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A NEW APPROACH TO ALGORITHM-ORIENTED VISUAL PSYCHOPHYSICS
… about the natural environment from a pair of retinal images. Some approaches use psychophysical methods, which allow for controlled sensory presentation and perceptual measurement. Theory holds that through principled application of psychophysics and perceptual modelling, the mechanisms of the …
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Morphometric measurements of the retinal vasculature in ultra-wide scanning laser ophthalmoscopy as biomarkers for cardiovascular disease
Retinal imaging enables the visualization of a portion of the human microvasculature in-vivo and non-invasively. The scanning laser ophthalmoscope (SLO), provides images characterized by an ultra-wide field of view (UWFoV) covering approximately 180-200º in a single scan, minimizing the discomfort …
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Computer-assisted colour fundus image analysis
… statistical proof of correlation between certain retinal features with certain types of pathologies. Automatic retina image analysis can play an important part in the processing of large number of data required in correlational studies. It also provides a more qualitative and standardized …
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Diabetic retinopathy among patients attending university teaching hospitals adult hospital medical clinic in Lusaka
… demographic and medical information collected. Retinal images were captured after pupil dilatation and used for grading retinopathy using the International classification of DR scale. The worse eye was used to grade for DR. A total of 213 participants were studied with a female to male ratio of …
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Diabetic retinopathy among patients attending university teaching hospitals adult hospital medical clinic in Lusaka
… demographic and medical information collected. Retinal images were captured after pupil dilatation and used for grading retinopathy using the International classification of DR scale. The worse eye was used to grade for DR. A total of 213 participants were studied with a female to male ratio of …
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Rapid Visual Object Learning in Humans is Explainable by Low-Dimensional Image Representations
… is accomplished: humans re-represent incoming retinal images in a stable, multidimensional Euclidean space, and build linear decoders in this space for new object categories from image exemplars. In Part I, we empirically characterize human learning behavior over a battery of different learning …
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Modelling grey-level intensities for smart phones to view medical images
… for mobile phones in order to view medical images in greyscale using different mobile phones. While medical image format of DICOM employs a Greyscale Standard Display Function (GSDF) that describes the relationship between luminance level and display intensity values, medical images that …
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Detection and Classification of Diabetic Retinopathy Pathologies in Fundus Images
… to reduce rates of blindness worldwide. Retinal photography for DR has been promoted for decades for its utility in both disease screening and clinical research studies. In recent years, several research centers have presented systems to detect pathology in retinal images. However, these …
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Retinal vessel segmentation using textons
Segmenting vessels from retinal images, like segmentation in many other medical image domains, is a challenging task, as there is no unified way that can be adopted to extract the vessels accurately. However, it is the most critical stage in automatic assessment of various forms of diseases (e.g. …
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Malarial retinopathy and neurovascular injury in paediatric cerebral malaria
… also provide an illustration of how to approach retinal biomarkers in a new, and potentially more effective way. Methods I approached the aim of developing retinal features as markers of brain disease in paediatric cerebral malaria via several objectives. I made use of an existing clinical study …
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Segmentace cév v obrazech sítnice
Diplomová práce se zabývá metodou segmentace cévního řečiště ze snímků očního pozadí pořízených fundus kamerou. Je prozkoumána možnost využití vlnkové transformace k rychlé přehledové segmentaci. Práce obsahuje rozbor problematiky předzpracování snímku a dekompozice obrazu pomocí 2D DWT. Dále je …
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