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Showing 1 to 11 of 11 for “"Fundus Images"”.

  1. Detection and Classification of Diabetic Retinopathy Pathologies in Fundus Images

    … presented systems to detect pathology in retinal images. However, these approaches apply specialized algorithms to detect specific types of lesion in the retina. In order to detect multiple lesions, these systems generally implement multiple algorithms. Furthermore, some of these studies evaluate …

    unm Repository record for Detection and Classification of Diabetic Retinopathy Pathologies in Fundus Images (opens in a new tab)

  2. The manual analysis of human biometric identifiers in non-pathological retinal fundus images: An evaluation of presented methodologies and a survey of identifiers within open source databases

    From the initial proposal of the use of retinal fundus images to enable human identification in 1935, identity biometrics based upon digital representations of the retinal fundus have been proposed as a highly effective modality applied for high level security applications. As complex internal …

    dundee Repository record for The manual analysis of human biometric identifiers in non-pathological retinal fundus images: An evaluation of presented methodologies and a survey of identifiers within open source databases (opens in a new tab)

  3. Developing Interpretable Data Mining Frameworks for Addressing Biomedical Challenges in Genomics and Imaging

    … latent and explicit information from retina fundus images to detect DR and identify DR stages. The methods discussed in this dissertation contribute to the research community by consolidating information and extracting hidden insights from publicly available data sources through interpretable …

    iupui Repository record for Developing Interpretable Data Mining Frameworks for Addressing Biomedical Challenges in Genomics and Imaging (opens in a new tab)

  4. Kontūro atpažinimo metodų taikymas skersinei chromatinei aberacijai šalinti akies dugno vaizduose ir kelio dangos defektams atpažinti /

    … and lateral chromatic aberration in eye fundus images. The recognition of object contours in raster images is relevant in many practical fields: astronomy, meteorology, forensics, warfare, industry, engineering, medicine, archeology, robotics, and many others. Different methods for …

    vilnius Repository record for Kontūro atpažinimo metodų taikymas skersinei chromatinei aberacijai šalinti akies dugno vaizduose ir kelio dangos defektams atpažinti / (opens in a new tab)

  5. Visual field and structural alterations in age-related macular degeneration

    … the structure to function relationships between fundus images and the visual field were developed with computer programming and evaluated for repeatability. Drusen quantification of fundus photographs and retro-mode scanning laser ophthalmoscopic images was performed. Visual field progression was …

    aston Repository record for Visual field and structural alterations in age-related macular degeneration (opens in a new tab)

  6. Building capacity for diabetic eye screening and management in low-middle income countries: a mixed-methods approach

    … were more likely to systematically grader fundus images and use all available grading tools, such as the red-free filter to view more discrete signs of DR. Furthermore, high costs and distance to hospitals were two main barriers to DR screening and treatment uptake in Bangladesh and …

    qu-belfast Repository record for Building capacity for diabetic eye screening and management in low-middle income countries: a mixed-methods approach (opens in a new tab)

  7. Applying Artificial Intelligence and Mobile Technologies to Enable Practical Screening for Diabetic Retinopathy

    … to automatically predict DR using retina (fundus) images. However, the practical application of these algorithms is impeded by the different levels of DR severity, limited algorithm reproducibility, and a large variability in fundus imaging devices. To address these concerns, I present the …

    mit Repository record for Applying Artificial Intelligence and Mobile Technologies to Enable Practical Screening for Diabetic Retinopathy (opens in a new tab)

  8. Robust and Efficient AI-models for Medical Image Reconstruction, Segmentation, and Multimodal Knowledge Distillation

    … accurate segmentation across multimodal medical images. To address the limitations of low-resolution imaging, particularly in resource-constrained environments such as spaceflight medicine, I introduce Swin-FSR, a Swin Transformer-based super-resolution model that reconstructs high-fidelity …

    unr Repository record for Robust and Efficient AI-models for Medical Image Reconstruction, Segmentation, and Multimodal Knowledge Distillation (opens in a new tab)

  9. 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. …

    east-anglia Repository record for Retinal vessel segmentation using textons (opens in a new tab)

  10. 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

    uiuc Repository record for AI-driven identification of melanoma risk factors using choroidal nevi retinal images (opens in a new tab)

  11. Metodo per la generazione del fondo retinico sintetico basato sull'estrazione delle caratteristiche

    La distribuzione e l'analisi dei vasi sanguigni del bulbo oculare gioca un ruolo fondamentale nella diagnosi e nel trattamento di molte patologie come l'ipertensione e l'analisi del diabete. Pertanto, l'analisi delle immagini digitali vascolari retiniche ha un ruolo predominante nell'oftalmologia …

    catania Repository record for Metodo per la generazione del fondo retinico sintetico basato sull'estrazione delle caratteristiche (opens in a new tab)