A new robust method for blood vessel segmentation in retinal fundus images based on weighted line detector and hidden Markov model
C Zhou, X Zhang, H Chen - Computer methods and programs in …, 2020 - Elsevier
Background and objective Automatic vessel segmentation is a crucial preliminary
processing step to facilitate ophthalmologist diagnosis in some diseases. But, due to the …
processing step to facilitate ophthalmologist diagnosis in some diseases. But, due to the …
[HTML][HTML] Automatic vessel crossing and bifurcation detection based on multi-attention network vessel segmentation and directed graph search
G Wang, Y Huang, K Ma, Z Duan, Z Luo, P Xiao… - Computers in Biology …, 2023 - Elsevier
Abstract Analysis of the vascular tree is the basic premise to automatically diagnose retinal
biomarkers associated with ophthalmic and systemic diseases, among which accurate …
biomarkers associated with ophthalmic and systemic diseases, among which accurate …
Deep multi-instance heatmap regression for the detection of retinal vessel crossings and bifurcations in eye fundus images
Background and objectives: The analysis of the retinal vasculature plays an important role in
the diagnosis of many ocular and systemic diseases. In this context, the accurate detection …
the diagnosis of many ocular and systemic diseases. In this context, the accurate detection …
[HTML][HTML] A visual framework to create photorealistic retinal vessels for diagnosis purposes
The methods developed in recent years for synthesising an ocular fundus can be been
divided into two main categories. The first category of methods involves the development of …
divided into two main categories. The first category of methods involves the development of …
A multi-task network to detect junctions in retinal vasculature
F Uslu, AA Bharath - Medical Image Computing and Computer Assisted …, 2018 - Springer
Junctions in the retinal vasculature are key points to be able to extract its topology, but they
vary in appearance, depending on vessel density, width and branching/crossing angles. The …
vary in appearance, depending on vessel density, width and branching/crossing angles. The …
[HTML][HTML] Exudates as landmarks identified through FCM clustering in retinal images
The aim of this work was to develop a method for the automatic identification of exudates,
using an unsupervised clustering approach. The ability to classify each pixel as belonging to …
using an unsupervised clustering approach. The ability to classify each pixel as belonging to …
Automatic artery/vein classification in colour retinal images
ME Martinez-Perez, KH Parker, N Witt… - … on Machine Vision …, 2020 - spiedigitallibrary.org
Quantitative imaging of retinal arteries and veins offers unique insights into cardiovascular
and microvascular diseases but is laborious. We developed and tested a method to …
and microvascular diseases but is laborious. We developed and tested a method to …
Filter bank: A directional approach for retinal vessel segmentation
It is well known that retinal diseases are sometimes identified by tortuosity of the vessels,
presence of exudates and hemorrhages while lesions of tissues are associated to diabetic …
presence of exudates and hemorrhages while lesions of tissues are associated to diabetic …
[PDF][PDF] ALGORITHMS AND SOFTWARE FOR GEOMETRIC MODELING OF THE IMAGE OF RETINAL VASCULAR SYSTEMS
IF Uralovna - Journal of new century innovations, 2023 - newjournal.org
The methods developed in recent years for synthesising an ocular fundus can be been
divided into two main categories. The first category of methods involves the development of …
divided into two main categories. The first category of methods involves the development of …
[PDF][PDF] A Fast Multiresolution Approach Useful for Retinal Image Segmentation.
Retinal diseases such as retinopathy of prematurity (ROP), diabetic and hypertensive
retinopathy present several deformities of fundus oculi which can be analyzed both during …
retinopathy present several deformities of fundus oculi which can be analyzed both during …