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”.
Github link: https://github.com/RViMLab/BOE2020-OCTA-vessel-segmentation
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.