Skip to main navigation
Skip to search
Skip to main content
UTMB Health Research Expert Profiles Home
Help & FAQ
Home
Experts
Departments
Equipment
Projects/Grants
Publications
Activities
Press/Media
Honors
Impacts
Search by expertise, name or affiliation
Automatic graph-based method for classification of retinal vascular bifurcations and crossovers
Z. Ghanaei
, H. Pourreza
,
T. Banaee
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
2
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Automatic graph-based method for classification of retinal vascular bifurcations and crossovers'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Automatic Algorithm
33%
Automatic Classification
33%
Automatic Graph
100%
Automatic Screening
33%
Bifurcation
100%
Classification System
33%
Driving Dataset
33%
Graphical Method
100%
Labelled Image
33%
Retinal Image
33%
Retinal Vascular Network
100%
Retinal Vessels
33%
Screening Program
33%
Vascular Bifurcation
100%
Vascular Topology
33%
Vasculature
33%
Vessel Classification
33%
Biochemistry, Genetics and Molecular Biology
Retina Image
100%
Vascularization
100%
Computer Science
Automatic Classification
100%
Average Accuracy
100%
Neuroscience
Retinal Blood Vessel
100%