Automated detection and classification of vascular abnormalities in diabetic retinopathy

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn 2, Issue , 2004, Pages 1625-1629

  Vallabha, Deepika ^a   Dorairaj, Ramprasath ^a   Namuduri, Kamesh ^a   Thompson, Hilary ^b  

^a WICHITA STATE UNIVERSITY   (United States)

^b LSU EYE CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIABETIC RETINOPATHY (DR); GABOR FILTER BANKS; MACULOPATHY; VASCULAR ABNORMALITIES;

CAPILLARITY; COLOR; FEATURE EXTRACTION; LASER THEORY; MEDICAL IMAGING; PATIENT MONITORING;

DISEASES;

EID: 21644449928     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. K. J. Frank and J. P. Dieckert, "Clinical review of diabetic eye disease: A primary care perspective," Southern Medical Journal, vol. 89, no. 5, pp. 463-470, May 1996.
2. N. J. Lingel, "Care of the patient with diabetic retinopathy," Pacific On-line Optometry Education.
3. J. G.OŚhea and D. A. Infeld, "Screening and monitoring diabetic retinopathy," Birmingham and Midland Eye Centre, 1999.
4. J. L. Company, "Grading diabetic retinopathy from stereoscopic color fundus photographs - an extension of the modified airlie house classification," ETDRS Report No. 10, Ophthalmology, the Journal of the American Academy of Ophthalmology, vol. 98, no. 5, p. 78, May 1991.
5. R. Klein, "Diabetic retinopathy," Public Health, vol. 17, pp. 137-158, May 1996.
6. J. Lowell, A. Hunter, and D. Steel, "Quantitative measurement of retinal vessel widths from fundus images based on 2d modeling," Technical Report, University of Durham, Department of Computer Science, 2002.
7. Kenneth.H.Fritzsche, "Computer vision algorithm for retinal vessel width change and quantification," Ph.D. dissertation, Rensselaer Polytechnic Institute, Troy, NY, October 2002.
8. L. Gang, O. Chutatape, and S. M. Krishnan, "Detection and measurement of retinal vessels in fundus images using amplitude modified second-order gaussian filter," IEEE Trans. Biomedical Engineering, vol. 49, no. 2, pp. 4-37, February 2002.
9. O.Chutatape, L. Zheng, and S.M.Krishnan, "Retinal blood vessel detection and tracking by matched gaussian and kalman filters," Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology society, vol. 20, no. 6, pp. 3144-3149, 1998.
10. S. chaudhur, S. Chatterjee, N. Katz, M. Nelson, and M. G. Baum, "Detection of blood vessels in retinal images using two-dimensional matched filters," IEEE trans. Medical Imaging, vol. 8, no. 3, pp. 263-269, Sept 1989.
11. H. Li, W. Hsu, M. L. Lee, and H. Wang, "A piecewise gaussian model for profiling and differentiating retinal vessels," International Conference on Image Processing, 2003.
12. M. Turner, "Texture discrimination by gabor functions," Biological Cybernetics, vol. 55, pp. 71-82, 1986.
13. A. Bovik, M. Clark, and W. Geisler, "Multichannel texture analysis using localized spatial filters," IEEE Trans. PAMI, vol. 12, no. 1, pp. 55-73, 1990.
14. A. Jain and F. Farrokhnia, "Unsupervised texture segmentation using gabor filters," Intl. Journal of Computer Vision, pp. 279-302, 1988.
15. D. Heeger, "Optical flow using spatiotemporal filters," Intl. Journal of Computer Vision, pp. 279-302, 1988.
16. J.-P. Antoine and R. Murenzi, "Two-dimensional directional wavelets and the scale-angle representation," Signal Processing, vol. 52, pp. 259-281, 1996.