Impact of acquisition area on deep-learning-based glaucoma detection in different plexuses in OCTA.

ABSTRACT: Glaucoma is a group of neurodegenerative diseases that can lead to irreversible blindness. Yet, the progression can be slowed down if diagnosed and treated early enough. Optical coherence tomography angiography (OCTA) can non-invasively provide valuable information about the retinal microcirculation that has shown to be correlated with the onset of the disease. The vessel density (VD) is the most commonly used biomarker to quantify this vascular information. However, different studies showed that there is a great impact of the acquisition area on the performance of the VD to distinguish between glaucoma patients and a healthy control group. It also seems that the separate capillary plexuses are differently affected by the disease and therefore also influence the results. So in this study w

SUBMITTER: Schottenhamml J 

PROVIDER: S-EPMC11369139 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature