Optical coherence tomography angiography (OCTA) enables detailed visualization of the
vascular system. OCTA is of great significance for the diagnosis and treatment of many …

Many medical imaging modalities have benefited from recent advances in Machine
Learning (ML), specifically in deep learning, such as neural networks. Computers can be …

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 …

Optical coherence tomography angiography (OCTA) has been widely used in
ophthalmology in recent years due to its noninvasive and high resolution. In OCTA images …

Optical coherence tomography angiography (OCTA) is a novel imaging modality that has
been widely utilized in ophthalmology and neuroscience studies to observe retinal vessels …

Weakly-supervised learning (WSL) has been proposed to alleviate the conflict between data
annotation cost and model performance through employing sparsely-grained (ie, point-, box …

The accurate segmentation of retinal vessels (RV) and Foveal Avascular Zone (FAZ) is
crucial for the retina health assessment. However, fusing OCT and OCTA images while …

Fundus photography has been routinely used to document the presence and severity of
various retinal degenerative diseases such as age-related macula degeneration, glaucoma …

Optical coherence tomography angiography (OCTA) is a new non-invasive imaging
technology that provides detailed visual information on retinal biomarkers, such as the …

Optical coherence tomography angiography (OCTA), as a noninvasive imaging modality,
has been widely used in clinical ophthalmology. However, the segmentation of retinal …