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5 articles for “retinal direct”
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Breaking Boundaries: A Comprehensive Review of Screenless Display Technology
Abstract: This review explores new ways of showing images without traditional screens. We cover technologies like holography, where images appear to float in space, and retinal projection, which projects images directly onto your eye. We also discuss virtual retinal displays, which draw images on your retina using lasers, and augmented reality (AR), which overlays digital content onto your real-world view.Visual picture, Synaptic interface, Virtual Retinal Display. This primarily elucidates and illustrates …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 34–40 Read article
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An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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Survey on Retinal OCT Image Preprocessing, Segmentation, and Deep Learning Based Classification
Abstract: Optical coherence tomography (OCT) is a non-invasive technique that generates high-resolution, detailed cross-sectional images of biological tissues. By utilizing low-coherence interferometry, OCT enables visualization of tissue microstructure with micron-scale resolution, making it useful in various medical fields such as ophthalmology, cardiology, and dermatology. In ophthalmology, OCT is extensively used for diagnosing and monitoring retinal diseases like macular degeneration and diabetic retinopathy, allowing doctors to assess changes in tissue morphology over …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Exploring the Dynamics of Eye Fluid: Lymphatics, Aqueous Humor, and Intraocular Pressure
Abstract: Lymphatic vessels are essential for regulating interstitial fluid balance, facilitating immune cell transport, supporting lipid absorption, and playing significant roles in tumor development and metastasis. Recent findings have expanded their recognized functions, particularly in pathological contexts. One notable discovery is the involvement of lymphatics in draining aqueous humor from the eye, a process closely linked to the regulation of intraocular pressure (IOP) and its implications for glaucoma progression. This review …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 2, 2025 · pp. 31–44 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article