A prefiltering approach for an automatic screening system

WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Proceedings

Volumn , Issue , 2009, Pages 265-268

  Antal, Bálint ^a   Hajdu, András ^a  

^a UNIVERSITY OF DEBRECEN   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SCREENING; LOW QUALITIES; PRE-FILTERING; PRE-FILTERING APPROACH; SCREENING SYSTEM;

SIGNAL PROCESSING;

EID: 71249098313     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WISP.2009.5286556     Document Type: Conference Paper

References (13)

1. M. Abramoff, M. Niemeijer, M.S.A. Suttorp-Schulten, M. A. Viergever, S. R. Russel, and B. van Ginneken, "Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs in a large population of patients with diabetes," Diabetes Care, vol. 31, pp. 193-198, February 2008.
2. O. Hejlesen, B. Ege, K-H. Englemeier, S. Aldington, L. McCanna, and T. Bek, "Tosca-imaging developing internet based image processing software for screening and diagnosis of diabetic retinopathy," MEDINFO 2004, pp. 222-226, 2004.
3. J.J. Staal, M.D. Abramoff, M. Niemeijer, M.A. Viergever, and B. van Ginneken, "Ridge based vessel segmentation in color images of the retina," IEEE Transactions on Medical Imaging, vol. 23, pp. 501-509, 2004.
4. T. Kauppi, V. Kalesnykiene, J. Kmrinen, L.Lensu, I. Sorri, A. Raninen, R. Voutilainen, H. Uusitalo, H. Klviinen, and J. Pietil, "Diaretdb1 diabetic retinopathy database and evaluation protocol," Proc. of the 11th Conf. on Medical Image Understanding and Analysis (MIUA2007), pp. 61-65, 2007.
5. A. A. A. Youssif, A. Z. Ghalwash, and A. S. Ghoneim, "Comparative study of contrast enhancement and illumination equalization methods for retinal vasculature segmentation," Proc. Cairo International Biomedical Engineering Conferemce, 2006.
6. A. Sopharak, K. T. Nwe, Y. A. Moe, M. N. Dailey, and B. Uyyanonvara, "Automatic exudate detection with a naive bayes classifier," in The 2008 International Conference on Embedded Systems and Intelligent Technology, February 27-29, 2008.
7. C. Bellman, M. M. Neveu, H. P. N. Scholl, C. R. Hogg, P. R. Rath, S. Jenkins, A. C. Bird, and G. E. Holder, "Localized retinal electrophysiological and fundus autofluorescence imaging abnormalities in maternal inherited diabetes and deafness," Investigative Ophthalmology & Visual Science, vol. 45, pp. 2355-2360, July 2004.
8. The age-related eye disease study research group (NIH), "The age-related eye disease study system for classifying age-related macular degeneration from stereoscopic color fundus photographs: The agerelated eye disease study report," Am J Ophthalmol, vol. 132, pp. 668681, 2001.
9. C. Chang and C. Lin, "Libsvm: a library for support vector machines," Software available at http://www.csie.ntu.edu.tw/ cjlin/libsvm, 2001.
10. I. Kozak, P. Sample, J. Hao, W. R. Freeman, R. N. Weinreb, T. Lee, and M. H. Goldbaum, "Machine learning classifiers detect subtle field defects in eyes of hiv inviduals," Trans Am Ophthalmol Soc, vol. 105, pp. 111-120, 2007.
11. T. S. Petsatodis, A. Diamantis, and G. P. Syrcos, "A complete algorithm for automatic human recognition based on retina vascular network characteristics," Era1 International Scientific Conference, Peloponnese, Greece, 16-17 September 2006.
12. L. Giancardo, M. D. Abramoff, E. Chaum, T. P. Karnowski, F. Meriaudeau, and K. W. Tobin Jr, "Elliptical local vessel density: a fast and robust quality metric for retinal images," Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE, pp. 3534-3537, 2008.
13. L. Gagnon, M. Lalonde, M. Beaulieu, and M.-C. Boucher, "Procedure to detect anatomical structures in optical fundus images," Medical Imaging 2001: Image Processing, Proc SPIE, vol. 4322, pp. 1218-1225, 2001.