Vascular Tree Tracking and Bifurcation Points Detection in Retinal Images Using a Hierarchical Probabilistic Model

Kalaie, S. and Gooya, A. orcid.org/0000-0001-5135-4800 (2017) Vascular Tree Tracking and Bifurcation Points Detection in Retinal Images Using a Hierarchical Probabilistic Model. Computer Methods and Programs in Biomedicine, 151. pp. 139-149. ISSN 0169-2607

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Copyright, Publisher and Additional Information: © 2017 Elsevier. This is an author produced version of a paper subsequently published in Computer Methods and Programs in Biomedicine. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: Bifurcation; Classification; Machine learning; Probabilistic graphical model; Retinal blood vessel tracking
Dates:
  • Published: November 2017
  • Published (online): 24 August 2017
  • Accepted: 21 August 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 05 Sep 2017 10:42
Last Modified: 02 Oct 2019 13:08
Published Version: https://doi.org/10.1016/j.cmpb.2017.08.018
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.cmpb.2017.08.018

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