A review of retinal blood vessels extraction techniques: challenges, taxonomy, and future trends

KB Khan, AA Khaliq, A Jalil, MA Iftikhar, N Ullah… - Pattern Analysis and …, 2019 - Springer
The visual exploration of retinal blood vessels assists ophthalmologists in the diagnoses of
different abnormalities of the eyes such as diabetic retinopathy, glaucoma, cardiovascular …

A comprehensive survey on segmentation techniques for retinal vessel segmentation

J Cervantes, J Cervantes, F García-Lamont… - Neurocomputing, 2023 - Elsevier
In recent years, enormous research has been carried out on the segmentation of blood
vessels. Segmentation of blood vessels in retinal images is crucial for diagnosing, treating …

Robust retinal vessel segmentation via locally adaptive derivative frames in orientation scores

J Zhang, B Dashtbozorg, E Bekkers… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper presents a robust and fully automatic filter-based approach for retinal vessel
segmentation. We propose new filters based on 3D rotating frames in so-called orientation …

[HTML][HTML] Roto-translation equivariant convolutional networks: Application to histopathology image analysis

MW Lafarge, EJ Bekkers, JPW Pluim, R Duits… - Medical Image …, 2021 - Elsevier
Rotation-invariance is a desired property of machine-learning models for medical image
analysis and in particular for computational pathology applications. We propose a …

Retinal vessel delineation using a brain-inspired wavelet transform and random forest

J Zhang, Y Chen, E Bekkers, M Wang, B Dashtbozorg… - Pattern Recognition, 2017 - Elsevier
This paper presents a supervised retinal vessel segmentation by incorporating vessel
filtering and wavelet transform features from orientation scores (OSs), and green intensity …

Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters

N Strisciuglio, G Azzopardi, M Vento… - Machine Vision and …, 2016 - Springer
The inspection of retinal fundus images allows medical doctors to diagnose various
pathologies. Computer-aided diagnosis systems can be used to assist in this process. As a …

Fractal dimension and retinal pathology: a meta-analysis

S Yu, V Lakshminarayanan - Applied Sciences, 2021 - mdpi.com
Due to the fractal nature of retinal blood vessels, the retinal fractal dimension is a natural
parameter for researchers to explore and has garnered interest as a potential diagnostic …

Reliability of using retinal vascular fractal dimension as a biomarker in the diabetic retinopathy detection

F Huang, B Dashtbozorg, J Zhang… - Journal of …, 2016 - Wiley Online Library
The retinal fractal dimension (FD) is a measure of vasculature branching pattern complexity.
FD has been considered as a potential biomarker for the detection of several diseases like …

An improved retinal vessel segmentation framework using frangi filter coupled with the probabilistic patch based denoiser

A Khawaja, TM Khan, K Naveed, SS Naqvi… - IEEE …, 2019 - ieeexplore.ieee.org
Vessel segmentation has come a long way in terms of matching the experts at detection
accuracy, yet there is potential for further improvement. In this regard, the accurate detection …

Performance comparison of publicly available retinal blood vessel segmentation methods

P Vostatek, E Claridge, H Uusitalo… - … Medical Imaging and …, 2017 - Elsevier
Retinal blood vessel structure is an important indicator of many retinal and systemic
diseases, which has motivated the development of various image segmentation methods for …