Frontiers in Aging Neuroscience, 2021 Background To explore the retinal vascular density changes in Alzheimer’s disease (AD) and mild cognitive impairment (MCI) patients using optical coherence tomography angiography (OCTA).
Qian-Hua Zhao, Dding ding
exaly +2 more sources
SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model OCTA Image Segmentation Tasks [PDF]
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 In the analysis of optical coherence tomography angiography (OCTA) images, the operation of segmenting specific targets is necessary. Existing methods typically train on supervised datasets with limited samples (approximately a few hundred), which can ...
Chengliang Wang +3 more
semanticscholar +3 more sources
Progress in Retinal and Eye Research, 2020 Optical coherence tomography (OCT) and OCT angiography (OCTA) have been a technological breakthrough in the diagnosis, treatment, and follow-up of many retinal diseases, thanks to its resolution and its ability to inform of the retinal state in seconds ...
Nicolas Cuenca +2 more
exaly +2 more sources
The effect of curcumin-piperine on cardiometabolic, inflammatory and oxidative stress factors and macular vascular density in optical coherence tomography angiography (OCTA) in patients with non-proliferative diabetic retinopathy: Study protocol for a randomized, double-blind controlled trial [PDF]
Avicenna Journal of Phytomedicine, 2023 Objective: Curcumin is a safe phytochemical with antioxidant, anti-inflammatory, antidiabetic, and lipid-lowering effects. This study aims to investigate the efficacy of curcumin-piperine in non-proliferative diabetic retinopathy.Materials and Methods ...
Sepide Amini +7 more
doaj +1 more source
An Accurate and Efficient Neural Network for OCTA Vessel Segmentation and a New Dataset [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 Optical coherence tomography angiography (OCTA) is a noninvasive imaging technique that can reveal high-resolution retinal vessels. In this work, we propose an accurate and efficient neural network for retinal vessel segmentation in OCTA images.
Haojian Ning +3 more
semanticscholar +1 more source
Peripapillary vessel density and retinal nerve fiber layer thickness changes in early diabetes retinopathy [PDF]
International Journal of Ophthalmology, 2022 AIM: To perform a quantitative analysis of the peripapillary vessel density (VD) and retinal nerve fiber layer (RNFL) thickness changes in patients with early stage of diabetic retinopathy (DR).
Xiang-Ning Wang +4 more
doaj +1 more source
SAM-OCTA: Prompting Segment-Anything for OCTA Image Segmentation [PDF]
Biomedical Signal Processing and Control, 2023 Segmenting specific targets or biomarkers is necessary to analyze optical coherence tomography angiography (OCTA) images. Previous methods typically segment all the targets in an OCTA sample, such as retinal vessels (RVs).
Xinrun Chen +3 more
semanticscholar +1 more source
Retinal Structure Detection in OCTA Image via Voting-Based Multitask Learning [PDF]
IEEE Transactions on Medical Imaging, 2022 Automated detection of retinal structures, such as retinal vessels (RV), the foveal avascular zone (FAZ), and retinal vascular junctions (RVJ), are of great importance for understanding diseases of the eye and clinical decision-making.
Jinkui Hao +9 more
semanticscholar +1 more source
British Journal of Ophthalmology, 2023 Background Optical coherence tomography angiography (OCTA) enables fast and non-invasive high-resolution imaging of retinal microvasculature and is suggested as a potential tool in the early detection of retinal microvascular changes in Alzheimer’s ...
Jianyang Xie +15 more
semanticscholar +1 more source
Ocular sequelae in severe COVID-19 recovered patients of second wave
Indian Journal of Ophthalmology, 2022 Purpose: To evaluate the retinal microvascular changes in patients, recovered from severe COVID-19 during the second wave of the pandemic in North India.
Taw Dipu +13 more
doaj +1 more source