Microscopic retinal blood vessels detection and segmentation using support vector machine and K‐nearest neighbors

A Rehman, M Harouni, M Karimi, T Saba… - Microscopy research …, 2022 - Wiley Online Library
The retina is the deepest layer of texture covering the rear of the eye, recorded by fundus
images. Vessel detection and segmentation are useful in disease diagnosis. The retina's …

Automated techniques for blood vessels segmentation through fundus retinal images: A review

S Akbar, M Sharif, MU Akram, T Saba… - Microscopy research …, 2019 - Wiley Online Library
Retina is the interior part of human's eye, has a vital role in vision. The digital image
captured by fundus camera is very useful to analyze the abnormalities in retina especially in …

A novel method for blood vessel detection from retinal images

L Xu, S Luo - Biomedical engineering online, 2010 - Springer
Background The morphological changes of the retinal blood vessels in retinal images are
important indicators for diseases like diabetes, hypertension and glaucoma. Thus the …

Retinal blood vessel segmentation employing image processing and data mining techniques for computerized retinal image analysis

R GeethaRamani, L Balasubramanian - Biocybernetics and Biomedical …, 2016 - Elsevier
Most of the retinal diseases namely retinopathy, occlusion etc., can be identified through
changes exhibited in retinal vasculature of fundus images. Thus, segmentation of retinal …

Retinal blood vessel segmentation using pixel-based feature vector

B Toptaş, D Hanbay - Biomedical Signal Processing and Control, 2021 - Elsevier
A lot of important disease information can be accessed by performing retinal blood vessel
analysis on fundus images. Diabetic retinopathy is one of the diseases understood by retinal …

Retinal vessel segmentation using neural network

S Thangaraj, V Periyasamy, R Balaji - IET Image Processing, 2018 - Wiley Online Library
Automatic extraction of retinal blood vessels plays an important role in the diagnosis of many
retinal diseases and also for diagnosing several complicated diseases such as stroke …

Multifilters-based unsupervised method for retinal blood vessel segmentation

N Muzammil, SAA Shah, A Shahzad, MA Khan… - Applied Sciences, 2022 - mdpi.com
Fundus imaging is one of the crucial methods that help ophthalmologists for diagnosing the
various eye diseases in modern medicine. An accurate vessel segmentation method can be …

Unsupervised multiscale retinal blood vessel segmentation using fundus images

K Upadhyay, M Agrawal, P Vashist - IET Image Processing, 2020 - Wiley Online Library
Blood vessel segmentation is a vital step in automated diagnosis of retinal diseases. Some
retinal diseases progress with structural changes in the vessels whereas in others, vessels …

A framework for retinal vessel segmentation from fundus images using hybrid feature set and hierarchical classification

SA Khowaja, P Khuwaja, IA Ismaili - Signal, Image and Video Processing, 2019 - Springer
Retinal blood vessels play an imperative role in detection of many ailments, such as
cardiovascular diseases, hypertension, and diabetic retinopathy. The automated way of …

Computer-aided retinal vessel segmentation in retinal images: convolutional neural networks

E Uysal, GE Güraksin - Multimedia Tools and Applications, 2021 - Springer
In medicine, diagnosis is as important as treatment. Retinal blood vessels are the most
easily visible vessels in the whole body, and therefore, play a key role in the diagnosis of …