DETECTION OF MICRO ANEURYSMS USING MULTIPLE CLASSIFIERS AND HIDDEN MARKOV MODELS

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

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.

References

  1. Cree M. J., Olson J. A., McHardy K. C., Forrester J. V., Sharp P. F., 1996, “Automated Microaneurysms Detection”, Proceedings of the International Conference on Image Processing.
  2. Fu Y. and Browne A., 2007, “Using Ensembles of Neural Networks to Improve Automatic Relevance Determination”, Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, USA.
  3. HTK Toolkit, [Internet], >Available from http://htk.eng.cam.ac.uk> Last Access [17/08/09].
  4. Kittler J., Mohamad H., Duin R. P. W., Matas J., 1998, “On Combining Classifiers”, IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 3 (3).
  5. Niemeijer M., Ginneken B., Stal J., Suttorp-Schulten M. S. A., Abramoff M. D., 2005, “Automatic Detection of Red Lesions in Digital Color Fundus Photograph”, IEEE Transaction on Medical Imaging, Vol. 25(5).
  6. Optimal Detection and Decision -Support Diagnosis of Diabetic Retinopathy (2005), Internet, <Available from http://www.it.lut.fi/project/imageret/> Last Accessed [17/08/08]
  7. Parui S. K., Guin K., Bhattacharyam U., Chaudhuri B. B., 2008, “Online Handwritten Bangla Character Recognition Using HMM”, IEEE Transaction 2008.
  8. Rabiner L. R., 1989, “A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition”, Proceedings of the IEEE, Vol. 77 (2).
  9. Sagar A. V., S. Balasubramaniam, V. Chandrasekaran, 2007, “A Novel Integrated approach using dynamic thresholding and edge detection for automatic detection of exudates in digital fundus retina images”, Proceedings of the International Conference on Computing: Theory and Application.
  10. Sinthanayothin C., Boyce J. F., Williamsom T.H., Cool H.L., Mensah E., Lai S., Usher D., 2002, “Automated Detection of Diabetic Retinopathy on Digital Fundus Images”, Diabetic Medicine, Vol. 19, ppl105-112.
  11. Spencer T., Olson J. A., McHardy K. C., Sharp P. F., Forrester J. V., 1996, “An Image Processing strategy for the Segmentation and Quantification of Microaneurysms in Fluorescein Angiograms of the Ocular Fundus”, Computers and Biomedical Research, Vol. 29, pp284-302.
  12. Walter T., Klein J., 2000, “Automatic Detection of Micro aneurysms in Color Fundus Images of the Human Retina by means of the Bounding Box Closing”, Proceedings of the Third International Symposium on Medical Data Analysis, Rome, Italy.
  13. World Health Organisation. [Internet], <Available from http://www.who.int/blindness/causes/priority/en/index 6.html Last Access [17/08/09]
  14. Won K., Prugel-Bennet A., Krogh A., 2006, “Evolving the Structure of Hidden Markob Models”, IEEE Transaction on Evoutionary Computation, Vol. 10 (1).
Download


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