Automatic Diabetic Retinopathy detection using BossaNova representation

Ramon Pires, Sandra Avila, Herbert Jelinek, Jacques Wainer, Eduardo Valle, Anderson Rocha

Research output: Book chapter/Published conference paperConference paper

9 Citations (Scopus)

Abstract

The biomedical community has shown a continued interest in automated detection of Diabetic Retinopathy (DR), with new imaging techniques, evolving diagnostic criteria, and advancing computing methods. Existing state of the art for detecting DR-related lesions tends to emphasize different, specific approaches for each type of lesion. However, recent research has aimed at general frameworks adaptable for large classes of lesions. In this paper, we follow this latter trend by exploring a very flexible framework, based upon two-tiered feature extraction (low-level and mid-level) from images and Support Vector Machines. The main contribution of this work is the evaluation of BossaNova, a recent and powerful mid-level image characterization technique, which we contrast with previous art based upon classical Bag of Visual Words (BoVW). The new technique using BossaNova achieves a detection performance (measured by area under the curve - AUC) of 96.4% for hard exudates, and 93.5% for red lesions using a cross-dataset training/testing protocol.
Original languageEnglish
Title of host publicationProceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages146-149
Number of pages4
Volume2014
DOIs
Publication statusPublished - 2014
Event2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Sheraton Hotel & Towers, Chicago, United States
Duration: 26 Aug 201430 Aug 2014
https://web.archive.org/web/20140621102347/http://embc.embs.org/2014/ (Archived page)

Publication series

Name
ISSN (Electronic)1557-170X

Conference

Conference2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Abbreviated titleDiscovering, Innovating, and Engineering Future Biomedicine
CountryUnited States
CityChicago
Period26/08/1430/08/14
Internet address

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  • Cite this

    Pires, R., Avila, S., Jelinek, H., Wainer, J., Valle, E., & Rocha, A. (2014). Automatic Diabetic Retinopathy detection using BossaNova representation. In Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Vol. 2014, pp. 146-149). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2014.6943550