A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification
MRK Mookiah, S Hogg, TJ MacGillivray, V Prathiba… - Medical Image …, 2021 - Elsevier
The eye affords a unique opportunity to inspect a rich part of the human microvasculature
non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are …
non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are …
A review of retinal blood vessels extraction techniques: challenges, taxonomy, and future trends
The visual exploration of retinal blood vessels assists ophthalmologists in the diagnoses of
different abnormalities of the eyes such as diabetic retinopathy, glaucoma, cardiovascular …
different abnormalities of the eyes such as diabetic retinopathy, glaucoma, cardiovascular …
A novel framework for retinal vessel segmentation using optimal improved frangi filter and adaptive weighted spatial FCM
Medical attention has long been focused on diagnosing diseases through retinal
vasculature. However, due to the image intensity inhomogeneity and retinal vessel thickness …
vasculature. However, due to the image intensity inhomogeneity and retinal vessel thickness …
Deep learning system applicability for rapid glaucoma prediction from fundus images across various data sets
Glaucoma damages the optical nerve, which sends visual pictures to the brain, and results
in irreversible vision loss. This chronic infection is the second leading cause of permanent …
in irreversible vision loss. This chronic infection is the second leading cause of permanent …
Retinal blood vessel segmentation from diabetic retinopathy images using tandem PCNN model and deep learning based SVM
Diabetic Retinopathy (DR) occurs due to Type-II diabetes. It causes damages to the retinal
blood vessels and reason for visual impairment. The predicted center is around the …
blood vessels and reason for visual impairment. The predicted center is around the …
An Extended Approach to Predict Retinopathy in Diabetic Patients Using the Genetic Algorithm and Fuzzy C‐Means
SJ Ghoushchi, R Ranjbarzadeh… - BioMed Research …, 2021 - Wiley Online Library
The present study is developed a new approach using a computer diagnostic method to
diagnosing diabetic diseases with the use of fluorescein images. In doing so, this study …
diagnosing diabetic diseases with the use of fluorescein images. In doing so, this study …
A comprehensive survey on segmentation techniques for retinal vessel segmentation
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 …
vessels. Segmentation of blood vessels in retinal images is crucial for diagnosing, treating …
An improved retinal vessel segmentation framework using frangi filter coupled with the probabilistic patch based denoiser
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 …
accuracy, yet there is potential for further improvement. In this regard, the accurate detection …
Curvelet Transform Based on Edge Preserving Filter for Retinal Blood Vessel Segmentation.
S Dash, S Verma, NZ Jhanjhi… - … Materials & Continua, 2022 - search.ebscohost.com
Segmentation of vessel in retinal fundus images is a primary step for the clinical
identification for specific eye diseases. Effective diagnosis of vascular pathologies from …
identification for specific eye diseases. Effective diagnosis of vascular pathologies from …
Segmentation of retinal blood vessels from ophthalmologic diabetic retinopathy images
The most prominent ophthalmic cause of blindness is Diabetic Retinopathy (DR). This retinal
disease is characterized by variation in diameter of the retinal blood vessel and the new …
disease is characterized by variation in diameter of the retinal blood vessel and the new …