Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods
The exponential increase in the number of diabetics around the world has led to an equally
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …
Artificial intelligence in OCT angiography
Optical coherence tomographic angiography (OCTA) is a non-invasive imaging modality that
provides three-dimensional, information-rich vascular images. With numerous studies …
provides three-dimensional, information-rich vascular images. With numerous studies …
[HTML][HTML] Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images
Diabetic Retinopathy (DR) is a major complication in human eyes among the diabetic
patients. Early detection of the DR can save many patients from permanent blindness …
patients. Early detection of the DR can save many patients from permanent blindness …
Multimodal deep learning with feature level fusion for identification of choroidal neovascularization activity in age‐related macular degeneration
K **, Y Yan, M Chen, J Wang, X Pan, X Liu… - Acta …, 2022 - Wiley Online Library
Purpose This study aimed to determine the efficacy of a multimodal deep learning (DL)
model using optical coherence tomography (OCT) and optical coherence tomography …
model using optical coherence tomography (OCT) and optical coherence tomography …
Automated detection and diagnosis of diabetic retinopathy: A comprehensive survey
V Lakshminarayanan, H Kheradfallah, A Sarkar… - Journal of …, 2021 - mdpi.com
Diabetic Retinopathy (DR) is a leading cause of vision loss in the world. In the past few
years, artificial intelligence (AI) based approaches have been used to detect and grade DR …
years, artificial intelligence (AI) based approaches have been used to detect and grade DR …
A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography
As the prevalence of diabetes increases, millions of people need to be screened for diabetic
retinopathy (DR). Remarkable advances in technology have made it possible to use artificial …
retinopathy (DR). Remarkable advances in technology have made it possible to use artificial …
A novel computer-aided diagnostic system for early detection of diabetic retinopathy using 3D-OCT higher-order spatial appearance model
Early diagnosis of diabetic retinopathy (DR) is of critical importance to suppress severe
damage to the retina and/or vision loss. In this study, an optical coherence tomography …
damage to the retina and/or vision loss. In this study, an optical coherence tomography …
Detection of diabetic retinopathy using extracted 3D features from OCT images
Diabetic retinopathy (DR) is a major health problem that can lead to vision loss if not treated
early. In this study, a three-step system for DR detection utilizing optical coherence …
early. In this study, a three-step system for DR detection utilizing optical coherence …
Deep learning image analysis of optical coherence tomography angiography measured vessel density improves classification of healthy and glaucoma eyes
Purpose To compare convolutional neural network (CNN) analysis of en face vessel density
images to gradient boosting classifier (GBC) analysis of instrument-provided, feature-based …
images to gradient boosting classifier (GBC) analysis of instrument-provided, feature-based …
Optical coherence tomography angiography in diabetic patients: a systematic review
A Boned-Murillo, H Albertos-Arranz, MD Diaz-Barreda… - Biomedicines, 2021 - mdpi.com
Background: Diabetic retinopathy (DR) is the leading cause of legal blindness in the working
population in developed countries. Optical coherence tomography (OCT) angiography …
population in developed countries. Optical coherence tomography (OCT) angiography …