Vascular tree tracking and bifurcation points detection in retinal images using a hierarchical probabilistic model.

Journal: Computer methods and programs in biomedicine

Published Date: Aug 24, 2017

Abstract

BACKGROUND AND OBJECTIVE: Retinal vascular tree extraction plays an important role in computer-aided diagnosis and surgical operations. Junction point detection and classification provide useful information about the structure of the vascular network, facilitating objective analysis of retinal diseases.

Authors

Soodeh Kalaie

Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran. Electronic address: s.kalaie@modares.ac.ir.
Ali Gooya

Department of Electronic and Electrical Engineering, University of Sheffield, Mappin Street, Sheffield, S1 3JD, UK.

Keywords

Algorithms Diagnosis, Computer-Assisted Humans Likelihood Functions Machine Learning Models, Statistical Normal Distribution Retinal Vessels

External Resources

View on PubMed Access via DOI PubMed (28946995)

Vascular tree tracking and bifurcation points detection in retinal images using a hierarchical probabilistic model.

Abstract

Authors

Keywords

External Resources

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