Hypertensive Retinopathy (HR) is a retinal disease caused by elevated blood pressure for a
prolonged period. There are no obvious signs in the early stages of high blood pressure, but …

Quantitative retinal imaging is essential for eye disease detection, staging classification, and
treatment assessment. It is known that different eye diseases or severity stages can affect the …

Retinal artery/vein (A/V) classification plays a critical role in the clinical biomarker study of
how various systemic and cardiovascular diseases affect the retinal vessels. Conventional …

This study is to demonstrate deep learning for automated artery-vein (AV) classification in
optical coherence tomography angiography (OCTA). The AV-Net, a fully convolutional …

Retinal blood vessel morphological abnormalities are generally associated with
cardiovascular, cerebrovascular, and systemic diseases, automatic artery/vein (A/V) …

The automatic differentiation of retinal vessels into arteries and veins (A/V) is a highly
relevant task within the field of retinal image analysis. However, due to limitations of retinal …

Differentiating arterioles and venules in the fundus image is important for not only various
eye diseases but also systemic diseases such as hypertension and ischemic stroke. In this …

Retinal imaging serves as a valuable tool for diagnosis of various diseases. However,
reading retinal images is a difficult and time-consuming task even for experienced …

The analysis of organ vessels is essential for computer-aided diagnosis and surgical
planning. But it is not an easy task since the fine-detailed connected regions of organ vessel …

Vascular tree disentanglement and vessel type classification are two crucial steps of the
graph-based method for retinal artery-vein (A/V) separation. Existing approaches treat them …