ReviewAnnals of biomedical engineering2022
Retinal Vessel Segmentation, a Review of Classic and Deep Methods.
Review in Annals of biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 64 citations in OpenAlex.
- Image-processing pipeline for diagnosing diabetic macular ischaemia in diabetic macular oedema.Scientific reports · 2025Article
- Multi-teacher based knowledge distillation for retinal vessel segmentation.Health information science and systems · 2025Article
- A Method for Peripapillary Retinal Vessel Tortuosity Measurement and Its Clinical Correspondence.Translational vision science & technology · 2025Article
- Exploring a multi-path U-net with probability distribution attention and cascade dilated convolution for precise retinal vessel segmentation in fundus images.Scientific reports · 2025Article
- RetinalVasNet: a deep learning approach for robust retinal microvasculature detection.Frontiers in molecular biosciences · 2025Article
- VESCL: an open source 2D vessel contouring library.International journal of computer assisted radiology and surgery · 2024Article
- 3DVascNet: An Automated Software for Segmentation and Quantification of Mouse Vascular Networks in 3D.Arteriosclerosis, thrombosis, and vascular biology · 2024Article
- A Microvascular Segmentation Network Based on Pyramidal Attention Mechanism.Sensors (Basel, Switzerland) · 2024Article
- MCSE-U-Net: multi-convolution blocks and squeeze and excitation blocks for vessel segmentation.Quantitative imaging in medicine and surgery · 2024Article
- A High-Resolution Network with Strip Attention for Retinal Vessel Segmentation.Sensors (Basel, Switzerland) · 2023Article
- Automation of flow analysis in scleral vessels based on descriptive-associative algorithms.Scientific reports · 2023Article
- Attention-guided cascaded network with pixel-importance-balance loss for retinal vessel segmentation.Frontiers in cell and developmental biology · 2023Article
- Comparison of Retinal Imaging Techniques in Individuals with Pulmonary Artery Hypertension Using Vessel Generation Analysis.Life (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Retinal illnesses such as diabetic retinopathy (DR) are the main causes of vision loss. In the early recognition of eye diseases, the segmentation of blood vessels in retina images plays an important role. Different symptoms of ocular diseases can be identified by the geometric features of ocular arteries. However, due to the complex construction of the blood vessels and their different thicknesses, segmenting the retina image is a challenging task. There are a number of algorithms that helped the detection of retinal diseases. This paper presents an overview of papers from 2016 to 2022 that discuss machine learning and deep learning methods for automatic vessel segmentation. The methods are divided into two groups: Deep learning-based, and classic methods. Algorithms, classifiers, pre-processing and specific techniques of each group is described, comprehensively. The performances of recent works are compared based on their achieved accuracy in different datasets in inclusive tables. A survey of most popular datasets like DRIVE, STARE, HRF and CHASE_DB1 is also given in this paper. Finally, a list of findings from this review is presented in the conclusion section.
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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.