Applications of deep learning in fundus images: A review
The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …
importance. Due to its powerful performance, deep learning is becoming more and more …
Recent trends and advances in fundus image analysis: A review
Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
[HTML][HTML] AutoMorph: automated retinal vascular morphology quantification via a deep learning pipeline
Purpose: To externally validate a deep learning pipeline (AutoMorph) for automated
analysis of retinal vascular morphology on fundus photographs. AutoMorph has been made …
analysis of retinal vascular morphology on fundus photographs. AutoMorph has been made …
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification
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 …
Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current …
Recently, there has been an advancement in the development of innovative computer-aided
techniques for the segmentation and classification of retinal vessels, the application of which …
techniques for the segmentation and classification of retinal vessels, the application of which …
[ספר][B] Computer vision and recognition systems: research innovations and trends
CL Chowdhary, GT Reddy, BD Parameshachari - 2022 - api.taylorfrancis.com
This cutting-edge volume, Computer Vision and Recognition Systems: Research
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …
[HTML][HTML] Artery–vein segmentation in fundus images using a fully convolutional network
Epidemiological studies demonstrate that dimensions of retinal vessels change with ocular
diseases, coronary heart disease and stroke. Different metrics have been described to …
diseases, coronary heart disease and stroke. Different metrics have been described to …
Retinal artery-vein classification via topology estimation
R Estrada, MJ Allingham, PS Mettu… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
We propose a novel, graph-theoretic framework for distinguishing arteries from veins in a
fundus image. We make use of the underlying vessel topology to better classify small and …
fundus image. We make use of the underlying vessel topology to better classify small and …
Joint segmentation and classification of retinal arteries/veins from fundus images
Objective Automatic artery/vein (A/V) segmentation from fundus images is required to track
blood vessel changes occurring with many pathologies including retinopathy and …
blood vessel changes occurring with many pathologies including retinopathy and …
Retinal microaneurysms detection using local convergence index features
Retinal microaneurysms (MAs) are the earliest clinical sign of diabetic retinopathy disease.
Detection of MAs is crucial for the early diagnosis of diabetic retinopathy and prevention of …
Detection of MAs is crucial for the early diagnosis of diabetic retinopathy and prevention of …