Evaluation of the grading performance of an ensemble-based microaneurysm detector

Balint Antal*, István Lázár, András Hajdu, Zsolt Török, Adrienne Csutak, Tünde Petõ

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper, results of a diabetic retinopathy screening experiment are presented which is based solely on the findings of a microaneurysm detector. For this purpose, an ensemble-based algorithm developed by our research group was used; this provided promising results in our earlier experiments. At its best, the 1200 image of the Messidor database is classified by this detector with a sensitivity of 96%, a specificity of 51% and achieved an AUC of 0.87. As anticipated, larger microaneurysm counts are recognized with higher level of certainty. Therefore, this approach might be expected to have good performance in relation to the severity of the disease.

Original languageEnglish
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages5943-5946
Number of pages4
DOIs
Publication statusPublished - 26 Dec 2011
Externally publishedYes
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: 30 Aug 201103 Sep 2011

Publication series

NameConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISSN (Print)1557-170X

Conference

Conference33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/TerritoryUnited States
CityBoston, MA
Period30/08/201103/09/2011

Keywords

  • Algorithms
  • Aneurysm
  • Diabetic Retinopathy
  • Humans
  • Image Enhancement
  • Image Interpretation, Computer-Assisted
  • Pattern Recognition, Automated
  • Reproducibility of Results
  • Retinal Artery
  • Retinoscopy
  • Sensitivity and Specificity
  • Evaluation Studies
  • Journal Article
  • Research Support, Non-U.S. Gov't

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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