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 …

[HTML][HTML] Doppler optical coherence tomography

RA Leitgeb, RM Werkmeister, C Blatter… - Progress in retinal and …, 2014 - Elsevier
Abstract Optical Coherence Tomography (OCT) has revolutionized ophthalmology. Since its
introduction in the early 1990s it has continuously improved in terms of speed, resolution …

RTNet: relation transformer network for diabetic retinopathy multi-lesion segmentation

S Huang, J Li, Y Xiao, N Shen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Automatic diabetic retinopathy (DR) lesions segmentation makes great sense of assisting
ophthalmologists in diagnosis. Although many researches have been conducted on this …

[HTML][HTML] Acircularity index and axis ratio of the foveal avascular zone in diabetic eyes and healthy controls measured by optical coherence tomography angiography

BD Krawitz, S Mo, LS Geyman, SA Agemy… - Vision research, 2017 - Elsevier
Given the complexity of the current system used to stage diabetic retinopathy (DR) and the
risks and limitations associated with intravenous fluorescein angiography (IVFA) …

[HTML][HTML] An update on optical coherence tomography angiography in diabetic retinopathy

J Khadamy, KA Aghdam… - Journal of ophthalmic & …, 2018 - ncbi.nlm.nih.gov
Optical coherence tomography angiography (OCTA) is a novel non-invasive imaging
modality for 3-dimensional visualization of retinal and optic nerve capillary networks. In this …

Computer-aided diagnosis of cataract using deep transfer learning

T Pratap, P Kokil - Biomedical Signal Processing and Control, 2019 - Elsevier
Cataract is a leading eye disease across the world. If cataract is not diagnosed in earlier
stage, then it may lead to blindness. Earlier detection is the best way to control the risk and …

[HTML][HTML] Evaluation of automatically quantified foveal avascular zone metrics for diagnosis of diabetic retinopathy using optical coherence tomography angiography

Y Lu, JM Simonett, J Wang, M Zhang… - … & visual science, 2018 - tvst.arvojournals.org
Purpose: To describe an automated algorithm to quantify the foveal avascular zone (FAZ),
using optical coherence tomography angiography (OCTA), and to compare its performance …

Automated diabetic macular edema (DME) grading system using DWT, DCT features and maculopathy index

UR Acharya, MRK Mookiah, JEW Koh, JH Tan… - Computers in biology …, 2017 - Elsevier
The cause of diabetic macular edema (DME) is due to prolonged and uncontrolled diabetes
mellitus (DM) which affects the vision of diabetic subjects. DME is graded based on the …

Diabetic retinopathy grading by digital curvelet transform

S Hajeb Mohammad Alipour, H Rabbani… - … methods in medicine, 2012 - Wiley Online Library
One of the major complications of diabetes is diabetic retinopathy. As manual analysis and
diagnosis of large amount of images are time consuming, automatic detection and grading …

Deep ensemble learning based objective grading of macular edema by extracting clinically significant findings from fused retinal imaging modalities

B Hassan, T Hassan, B Li, R Ahmed, O Hassan - Sensors, 2019 - mdpi.com
Macular edema (ME) is a retinal condition in which central vision of a patient is affected. ME
leads to accumulation of fluid in the surrounding macular region resulting in a swollen …