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 …
[HTML][HTML] A comprehensive computer-aided system for an early-stage diagnosis and classification of diabetic macular edema
Diabetic macular edema (DME) is a condition of retinal swelling due to the accumulation of
leaked plasma in the extracellular space in the retina, known as the macula. DME is a …
leaked plasma in the extracellular space in the retina, known as the macula. DME is a …
Diabetic retinopathy detection and classification using hybrid feature set
J Amin, M Sharif, A Rehman, M Raza… - Microscopy research …, 2018 - Wiley Online Library
Complicated stages of diabetes are the major cause of Diabetic Retinopathy (DR) and no
symptoms appear at the initial stage of DR. At the early stage diagnosis of DR, screening …
symptoms appear at the initial stage of DR. At the early stage diagnosis of DR, screening …
A pixel-wise distance regression approach for joint retinal optical disc and fovea detection
This paper introduces a novel strategy for the task of simultaneously locating two key
anatomical landmarks in retinal images of the eye fundus, namely the optic disc and the …
anatomical landmarks in retinal images of the eye fundus, namely the optic disc and the …
Predicting CT-based coronary artery disease using vascular biomarkers derived from fundus photographs with a graph convolutional neural network
The study population contains 145 patients who were prospectively recruited for coronary
CT angiography (CCTA) and fundoscopy. This study first examined the association between …
CT angiography (CCTA) and fundoscopy. This study first examined the association between …
[HTML][HTML] Learning the retinal anatomy from scarce annotated data using self-supervised multimodal reconstruction
Deep learning is becoming the reference paradigm for approaching many computer vision
problems. Nevertheless, the training of deep neural networks typically requires a …
problems. Nevertheless, the training of deep neural networks typically requires a …
[HTML][HTML] Retinal artery/vein classification using genetic-search feature selection
Background and objectives: The automatic classification of retinal blood vessels into artery
and vein (A/V) is still a challenging task in retinal image analysis. Recent works on A/V …
and vein (A/V) is still a challenging task in retinal image analysis. Recent works on A/V …
End-to-end fovea localisation in colour fundus images with a hierarchical deep regression network
Accurately locating the fovea is a prerequisite for developing computer aided diagnosis
(CAD) of retinal diseases. In colour fundus images of the retina, the fovea is a fuzzy region …
(CAD) of retinal diseases. In colour fundus images of the retina, the fovea is a fuzzy region …
FundusPosNet: A deep learning driven heatmap regression model for the joint localization of optic disc and fovea centers in color fundus images
BJ Bhatkalkar, SV Nayak, SV Shenoy… - IEEE Access, 2021 - ieeexplore.ieee.org
The localization of the optic disc and fovea is crucial in the automated diagnosis of various
retinal diseases. We propose a novel deep learning driven heatmap regression model …
retinal diseases. We propose a novel deep learning driven heatmap regression model …
Fast detection of the main anatomical structures in digital retinal images based on intra-and inter-structure relational knowledge
JM Molina-Casado, EJ Carmona… - Computer methods and …, 2017 - Elsevier
Background and objective: The anatomical structure detection in retinal images is an open
problem. However, most of the works in the related literature are oriented to the detection of …
problem. However, most of the works in the related literature are oriented to the detection of …