SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model OCTA Image Segmentation Tasks [PDF]
ICASSP conference is in ...
Wang, Chengliang +3 more
openaire +3 more sources
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
Widefield Swept Source OCTA in Retinitis Pigmentosa [PDF]
(1) Background: To evaluate superficial capillary plexus (SCP), deep capillary plexus (DCP), choriocapillaris (CC), perfusion density (PD), and vessel length density (VLD) in macular and near/mid periphery regions in patients with retinitis pigmentosa (RP) using widefield swept source optical coherence tomography angiography (WSS-OCTA).
Mastropasqua, Rodolfo +10 more
openaire +4 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]
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
Peripapillary vessel density and retinal nerve fiber layer thickness changes in early diabetes retinopathy [PDF]
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
An Accurate and Efficient Neural Network for OCTA Vessel Segmentation and a New Dataset [PDF]
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
SAM-OCTA: Prompting Segment-Anything for OCTA Image Segmentation [PDF]
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]
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
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

