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Tracing retinal vessel trees by transductive inference

    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3903557/
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Tracing of retinal blood vessels through edge information

    https://www.researchgate.net/publication/282780370_Tracing_of_retinal_blood_vessels_through_edge_information
    to trace the blood vessels of the retina. Matlab platform has been utilized to exhibit the effectiveness of the proposed system. This study found out that …

Tracing retinal blood vessels by matrix-forest theorem of …

    https://www.ncbi.nlm.nih.gov/pubmed/25333171
    This paper aims to trace retinal blood vessel trees in fundus images. This task is far from being trivial as the crossover of vessels are commonly encountered in image-based vessel networks. Meanwhile it is often crucial to separate the vessel tree structures in applications such as diabetic retinopathy analysis.

Tracing retinal vessel trees by transductive inference

    https://pubmed.ncbi.nlm.nih.gov/24438151/
    Background: Structural study of retinal blood vessels provides an early indication of diseases such as diabetic retinopathy, glaucoma, and hypertensive retinopathy. These studies require accurate tracing of retinal vessel tree structure from fundus images in an automated manner.

Automated Tracing of Retinal Blood Vessels Using …

    https://link.springer.com/chapter/10.1007/978-3-642-38886-6_27
    In this paper we propose a two-step pipeline: First, the retinal vessels are segmented with the preference of preserving the skeleton network, i.e., retinal segmentation with a high recall. Second, a novel tracing algorithm is developed where the tracing problem is uniquely mapped to an inference problem in probabilistic graphical models.

Tracking and diameter estimation of retinal vessels using …

    https://pubmed.ncbi.nlm.nih.gov/28924571/
    Extraction of blood vessels in retinal images is an important step for computer-aided diagnosis of ophthalmic pathologies. We propose an approach for blood vessel tracking and diameter estimation. We hypothesize that the curvature and the diameter of blood vessels are Gaussian processes (GPs).

Retinal vascular analysis: Segmentation, tracing, and …

    https://www.sciencedirect.com/science/article/pii/B978008102816200006X
    Annotated vascular patterns include the caliber of the vessels measured at different radii from the optic disc as well as the vessel type (artery/vein) labeled by three experts. INSPIRE-AVR 9 [ 33] has 40 images of 2392 × 2048 pixels and corresponding arteriolar-to-venular diameter ratio (AVR) values observed by two ophthalmologists.

Retinal vessel segmentation using a probabilistic tracking …

    https://www.sciencedirect.com/science/article/pii/S0031320311003980
    we propose a tracking-based method to detect vessel edge points. a bayesian method is used during the tracking based on a statistic sampling scheme. vessel's sectional intensity profile is estimated by a gaussian shaped curve. local vessel structures such as bifurcation can be identified effectively. the proposed method performs better …

A review of retinal blood vessels extraction techniques: …

    https://dl.acm.org/doi/10.1007/s10044-018-0754-8
    The visual exploration of retinal blood vessels assists ophthalmologists in the diagnoses of different abnormalities of the eyes such as diabetic retinopathy, glaucoma, cardiovascular ailment, high blood pressure, arteriosclerosis, and age-related macular degeneration.

A review of retinal blood vessels extraction techniques: …

    https://link.springer.com/article/10.1007/s10044-018-0754-8
    The retinal vessel extraction methods are classified into five core classes: (I) pattern recognition (PR) approaches, (II) vessel tracking/tracing-based methodologies, (III) model-based techniques, (IV) hardware implementation-based approaches, and (V) hybrid approaches. Some of these classifications are further isolated into subsections.

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