Microaneurysm detection with radon transform-based classification on retina images

L. Giancardo, F. Meriaudeau, T. P. Karnowski, Y. Li, K. W. Tobin, E. Chaum

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

    66 Scopus citations

    Abstract

    The creation of an automatic diabetic retinopathy screening system using retina cameras is currently receiving considerable interest in the medical imaging community. The detection of microaneurysms is a key element in this effort. In this work, we propose a new microaneurysms segmentation technique based on a novel application of the radon transform, which is able to identify these lesions without any previous knowledge of the retina morphological features and with minimal image preprocessing. The algorithm has been evaluated on the Retinopathy Online Challenge public dataset, and its performance compares with the best current techniques. The performance is particularly good at low false positive ratios, which makes it an ideal candidate for diabetic retinopathy screening systems.

    Original languageEnglish
    Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
    Pages5939-5942
    Number of pages4
    DOIs
    StatePublished - 2011
    Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
    Duration: Aug 30 2011Sep 3 2011

    Publication series

    NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    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
    Period08/30/1109/3/11

    Funding

    FundersFunder number
    National Eye InstituteR01EY017065
    National Eye Institute

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