ReviewComputational and mathematical methods in medicine2018
A Review on the Extraction of Quantitative Retinal Microvascular Image Feature.
Review in Computational and mathematical methods in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed.
- Long-term investigation of 3D tissue detailed structure and multiparametric vascular network properties using OCT/OCTA for guiding atopic dermatitis theranostics.Journal of translational medicine · 2025Article
- Autosomal recessive cerebellar ataxias: a diagnostic classification approach according to ocular features.Frontiers in integrative neuroscience · 2023Article
- CPMF-Net: Multi-Feature Network Based on Collaborative Patches for Retinal Vessel Segmentation.Sensors (Basel, Switzerland) · 2022Article
- Normative data of retinal arteriolar and venular calibre measurements determined using confocal scanning laser ophthalmoscopy system - Importance and implications for study of cardiometabolic disorders.Indian journal of ophthalmology · 2022Observational
- Hybrid high-definition microvessel imaging/shear wave elastography improves breast lesion characterization.Breast cancer research : BCR · 2022Article
- BCR-UNet: Bi-directional ConvLSTM residual U-Net for retinal blood vessel segmentation.Frontiers in public health · 2022Article
- An Artificial Intelligence-Based Bio-Medical Stroke Prediction and Analytical System Using a Machine Learning Approach.Computational intelligence and neuroscience · 2022Article
- Quantitative Biomarkers for Cancer Detection Using Contrast-Free Ultrasound High-Definition Microvessel Imaging: Fractal Dimension, Murray's Deviation, Bifurcation Angle & Spatial Vascularity Pattern.IEEE transactions on medical imaging · 2021Article
- 2D alpha-shapes to quantify retinal microvasculature morphology and their application to proliferative diabetic retinopathy characterisation in fundus photographs.Scientific reports · 2021Article
- Multimodal Retinal Imaging for Detection of Ischemic Stroke.Frontiers in aging neuroscience · 2021Article
- Chinese ASCVD risk equations rather than pooled cohort equations are better to identify macro- and microcirculation abnormalities.BMC cardiovascular disorders · 2020Article
- A Review of Hypertensive Retinopathy and Chorioretinopathy.Clinical optometry · 2020Review
- Microvascular imaging of the skin.Physics in medicine and biology · 2019Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital image processing is one of the most widely used computer vision technologies in biomedical engineering. In the present modern ophthalmological practice, biomarkers analysis through digital fundus image processing analysis greatly contributes to vision science. This further facilitates developments in medical imaging, enabling this robust technology to attain extensive scopes in biomedical engineering platform. Various diagnostic techniques are used to analyze retinal microvasculature image to enable geometric features measurements such as vessel tortuosity, branching angles, branching coefficient, vessel diameter, and fractal dimension. These extracted markers or characterized fundus digital image features provide insights and relates quantitative retinal vascular topography abnormalities to various pathologies such as diabetic retinopathy, macular degeneration, hypertensive retinopathy, transient ischemic attack, neovascular glaucoma, and cardiovascular diseases. Apart from that, this noninvasive research tool is automated, allowing it to be used in large-scale screening programs, and all are described in this present review paper. This paper will also review recent research on the image processing-based extraction techniques of the quantitative retinal microvascular feature. It mainly focuses on features associated with the early symptom of transient ischemic attack or sharp stroke.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.