ArticleJournal of medical systems2017
Recent Advancements in Retinal Vessel Segmentation.
Article in Journal of medical systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Design and application of a realistic and multifunctional retinal phantom for standardizing ophthalmic imaging systems.Communications engineering · 2025Article
- Research progress in deep learning-based fundus image analysis for the diagnosis and prediction of hypertension-related diseases.Frontiers in cell and developmental biology · 2025Review
- 3DVascNet: An Automated Software for Segmentation and Quantification of Mouse Vascular Networks in 3D.Arteriosclerosis, thrombosis, and vascular biology · 2024Article
- Segmentation and Classification Approaches of Clinically Relevant Curvilinear Structures: A Review.Journal of medical systems · 2023Review
- Comparison of Multicolor Scanning Laser Imaging and Color Fundus Photography in Evaluating Vessel Whitening in Branch Retinal Vein Occlusion.Ophthalmic research · 2023Article
- U-Net based vessel segmentation for murine brains with small micro-magnetic resonance imaging reference datasets.PloS one · 2023Article
- Self-relabeling for noise-tolerant retina vessel segmentation through label reliability estimation.BMC medical imaging · 2022Article
- A Few-Shot Learning-Based Retinal Vessel Segmentation Method for Assisting in the Central Serous Chorioretinopathy Laser Surgery.Frontiers in medicine · 2022Article
- Weakly-Supervised Vessel Detection in Ultra-Widefield Fundus Photography via Iterative Multi-Modal Registration and Learning.IEEE transactions on medical imaging · 2021Article
- "Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging.International journal of computer assisted radiology and surgery · 2021Article
- Retinal Imaging Techniques Based on Machine Learning Models in Recognition and Prediction of Mild Cognitive Impairment.Neuropsychiatric disease and treatment · 2021Article
- DAVS-NET: Dense Aggregation Vessel Segmentation Network for retinal vasculature detection in fundus images.PloS one · 2021Article
- Registration of fluorescein angiography and optical coherence tomography images of curved retina via scanning laser ophthalmoscopy photographs.Biomedical optics express · 2020Article
- Microvasculature Segmentation and Intercapillary Area Quantification of the Deep Vascular Complex Using Transfer Learning.Translational vision science & technology · 2020Article
- A Novel Deep Learning Pipeline for Retinal Vessel Detection In Fluorescein Angiography.IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · 2020Article
- Determining blood flow direction from short neurovascular surgical microscope videos.Healthcare technology letters · 2019Article
- Segmentation of retinal blood vessels based on feature-oriented dictionary learning and sparse coding using ensemble classification approach.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Automated Ventricular System Segmentation in Paediatric Patients Treated for Hydrocephalus Using Deep Learning Methods.BioMed research international · 2019Article
- Augmented reality guidance in cerebrovascular surgery using microscopic video enhancement.Healthcare technology letters · 2018Article
- A Computer-Aided Decision Support System for Detection and Localization of Cutaneous Vasculature in Dermoscopy Images Via Deep Feature Learning.Journal of medical systems · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Retinal vessel segmentation is a key step towards the accurate visualization, diagnosis, early treatment and surgery planning of ocular diseases. For the last two decades, a tremendous amount of research has been dedicated in developing automated methods for segmentation of blood vessels from retinal fundus images. Despite the fact, segmentation of retinal vessels still remains a challenging task due to the presence of abnormalities, varying size and shape of the vessels, non-uniform illumination and anatomical variability between subjects. In this paper, we carry out a systematic review of the most recent advancements in retinal vessel segmentation methods published in last five years. The objectives of this study are as follows: first, we discuss the most crucial preprocessing steps that are involved in accurate segmentation of vessels. Second, we review most recent state-of-the-art retinal vessel segmentation techniques which are classified into different categories based on their main principle. Third, we quantitatively analyse these methods in terms of its sensitivity, specificity, accuracy, area under the curve and discuss newly introduced performance metrics in current literature. Fourth, we discuss the advantages and limitations of the existing segmentation techniques. Finally, we provide an insight into active problems and possible future directions towards building successful computer-aided diagnostic system.
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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.