Detection of human retina images suspect of glaucoma through the vascular bundle displacement in the optic disc

José Abel De La Fuente-Arriaga, Edgardo Manuel Felipe-Riverón, Eduardo Garduño-Calderón

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This work presents a methodology for detecting human retina images suspect of glaucoma based on the measurement of displacement of the vascular bundle caused by the growth of the excavation or cup. The results achieved are due to the relative increase in size of the cup or excavation that causes a displacement of the blood vessel bundle to the superior, inferior and nasal optic disc areas. The method consists of the segmentation of the optic disc contour and the vascular bundle located within it, and calculation of its displacement from its normal position using the chessboard metric. The method was successful in 62 images of a total of 67, achieving an accuracy of 93.02% of sensitivity and 91.66% of specificity in the pre-diagnosis.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence and Its Applications - 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, Proceedings
Pages520-531
Number of pages12
EditionPART 1
DOIs
StatePublished - 2013
Event12th Mexican International Conference on Artificial Intelligence, MICAI 2013 - Mexico City, Mexico
Duration: 24 Nov 201330 Nov 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8265 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th Mexican International Conference on Artificial Intelligence, MICAI 2013
Country/TerritoryMexico
CityMexico City
Period24/11/1330/11/13

Keywords

  • Chessboard metric
  • Excavation detection
  • Glaucoma detection
  • Optic papilla segmentation
  • Vascular bundle displacement

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