This repository contains a Python3 Tensorflow implementation of the methods described in 'Deep iteratitive vessel segmentation in OCT angiography'.
If you use this code in your work, please kindly cite Pissas et al. (2020):
BibTeX entry:
@article{Pissas:20,
author = {Theodoros Pissas and Edward Bloch and M. Jorge Cardoso and Blanca Flores and Odysseas Georgiadis and Sepehr Jalali and Claudio Ravasio and Danail Stoyanov and Lyndon Da Cruz and Christos Bergeles},
title = {Deep iterative vessel segmentation in OCT angiography},
journal = {Biomed. Opt. Express},
keywords = {Feature extraction; Imaging systems; Medical image processing; Neural networks; Optical coherence tomography; Retina scanning},
year = {2020},
number = {5},
pages = {2490--2510},
publisher = {OSA},
volume = {11},
month = {May},
url = {http://www.osapublishing.org/boe/abstract.cfm?URI=boe-11-5-2490},
doi = {10.1364/BOE.384919},
}
Please see the LICENSE file for details.
This work was supported through an Invention for Innovation grant [II-LB-0716-20002] by the National Institute for Health Research, through a grant [714562] by the European Research Council and by Sir Michael Uren Foundation.