CNN-based algorithm for drusen identification

Proceedings - IEEE International Symposium on Circuits and Systems

Volumn , Issue , 2006, Pages 2181-2184

  Checco, Paolo ^a   Corinto, Fernando ^a  

^a POLITECNICO DI TORINO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CELLULAR NEURAL NETWORKS; IMAGE PROCESSING; SPURIOUS SIGNAL NOISE;

ADAPTIVE SEGMENTATION; DRUSEN IDENTIFICATION; HISTOGRAM NORMALIZATION; MACULAR DEGENERATION;

ALGORITHMS;

EID: 34547261844     PISSN: 02714310     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. The age-related eye disease study research group, "The age-related eye disease study system for classifying age-related macular degeneration from stereoscopic color fundus photographs: The age-related eye disease study report number 6," American Journal of Ophthalmology, vol. 132, no. 5, pp. 668-681, Nov. 2001.
2. D. S. Shin, N. B. Javornik, and J. W. Berger, "Computer-assisted, interactive fundus image processing for macular drusen quantitation," Ophthalmology, vol. 106, no. 6, pp. 1119-1125, June 1999.
3. R. T. Smith, T. Nagasaki, J. R. Sparrow, I. Barbazetto, C. C. Klaver, and J. K. Chan, "A method of drusen measurement based on the geometry of fundus reflectance," BioMedical Engineering Online, vol. 2, no. 10, pp. 1-13, Apr. 2003.
4. R. T. Smith, J. K. Chan, T. Nagasaki, J. R. Sparrow, and I. Barbazetto, "A method of drusen measurement based on reconstruction of fundus background reflectance," British Journal of Ophthalmology, vol. 89, no. 1, pp. 87-91, Jan. 2005.
5. P. Perona and J. Malik, "Scale space and edge detection, using anisotropic diffusion," IEEE Trans. Pattern Anal. Machine Intell., vol. 12, no. 7, pp. 629-639, July 1990.
6. F. Corinto, M. Biey, and M. Gilli, "Nonlinear coupled cnn models for multiscale image analysis," Int. J. Circ. Theor. Appl., vol. 34, no. 1, pp. 77-88, Jan.-Feb. 2006.
7. L. O. Chua and L. Yang, "Cellular neural networks: Theory," IEEE Trans. Circuits Syst., vol. 35, no. 10, pp. 1257-1272, Oct. 1988.
8. C. Rekeczky, "CNN architectures for constrained diffusion based locally adaptive image processing," Int. J. Circ. Theor. Appl., vol. 30, no. 2-3, pp. 313-348, Mar.-June 2002.
9. J. Weickert, A Review of Nonlinear Diffusion Filtering, ser. Lecture Notes in Computer Science. Berlin: Springer, 1997, vol. 1252.
10. J. Weickert and B. Benhamouda, "Nonlinear diffusion scale-spaces: From the continuous to the discrete setting," in Proc. ICAOS96: Images, Wavelets and PDEs. New York: Springer, 1996, pp. 111-118.
11. C. Rekeczky, "MATCNN - analogic simulation toolbox for matlab," Analogical and Neural Computing Systems Laboratory, Computer and Automation Institute of the Hungarian Academy of Sciences, Tech. Rep. DNS-11-1997, Sept. 1997.