DETECTION OF MICRO ANEURYSMS USING MULTIPLE CLASSIFIERS AND HIDDEN MARKOV MODELS

Jonathan Goh, Lilian Tang, Lutfiah Al turk, Christina Vrikki, George Saleh

2010

Abstract

Diabetic retinopathy is a complication of diabetes and early detection is essential for effective treatment. In this paper, a novel technique for the detection of micro aneurysms is presented. Various features are extracted using image processing techniques and then fed through multiple classifiers for initial classification of candidate micro aneurysms. Hidden Markov models are then used to perform contextual analysis to recognise true micro aneurysms.

Paper Citation

in Harvard Style

Goh J., Tang L., Al turk L., Vrikki C. and Saleh G. (2010). DETECTION OF MICRO ANEURYSMS USING MULTIPLE CLASSIFIERS AND HIDDEN MARKOV MODELS . In Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010) ISBN 978-989-674-016-0, pages 269-274. DOI: 10.5220/0002738302690274

in Bibtex Style

@conference{healthinf10,
author={Jonathan Goh and Lilian Tang and Lutfiah Al turk and Christina Vrikki and George Saleh},
title={DETECTION OF MICRO ANEURYSMS USING MULTIPLE CLASSIFIERS AND HIDDEN MARKOV MODELS},
booktitle={Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)},
year={2010},
pages={269-274},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002738302690274},
isbn={978-989-674-016-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)
TI - DETECTION OF MICRO ANEURYSMS USING MULTIPLE CLASSIFIERS AND HIDDEN MARKOV MODELS
SN - 978-989-674-016-0
AU - Goh J.
AU - Tang L.
AU - Al turk L.
AU - Vrikki C.
AU - Saleh G.
PY - 2010
SP - 269
EP - 274
DO - 10.5220/0002738302690274