부산대학교 도서관

The retinal vascular system adapts and reacts rapidly to ocular diseases such as glaucoma, diabetic retinopathy and age-related macular degeneration. Here we present a combination of methods to further extract vascular information from $12\times 12\text{mm}$ wide-field optical coherence tomography angiography (OCTA). An integrated U-Net for the segmentation and classification of arteries and veins reached a segmentation IoU of $0.7095\pm 0.0224$, and classification IoU of $0.8793\pm 0.1049$ and $0.8928\pm 0.0929$ respectively. A correcting algorithm which uses topological information was created to correct the misclassification and connectivity of the vessels, which showed an average increase of 8.29% in IoU. Finally, the vessel morphometry of branch orders was extracted, where this allows the direct comparison of artery/vein, arterioles/venules and capillaries.