Python - Deep learning for OCT-A vessel segmentation
This repository contains a tensorflow implementation of deep convolutional networks used for vessel segmentation in OCT-A images. It also comprises pretrained model weights and example scripts which can be used to segment new OCT-A images. The software was developed as part of our 2020 Biomedical Optics Express publication, titled “Deep iteratitive vessel segmentation in OCT angiography”.
T. Pissas, E. Bloch, M. J. Caroso, B. Flores, O. Georgiadis, S. Jalali, C Ravasio, D. Stoyanov, L Da Cruz and C. Bergeles, “Deep iteratitive vessel segmentation in OCT angiography,” Biomedical Optics Express, vol. 11, no. 5, pp.2490-2510, 2020.