A hybrid feature selection strategy for image defining features: Towards interpretation of optic nerve images

2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Volumn , Issue , 2005, Pages 5127-5132

  Yu, Jin ^a   Abidi, Syed Sibte Raza ^a   Artes, Paul Habib ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

Author keywords

Confocal Scanning Laser Tomography; Feature Selection; Markov Blanket; Optic Nerve Images; Zernike Moments

Indexed keywords

CONFORMAL MAPPING; DATA MINING; DECISION MAKING; IMAGE QUALITY; IMAGE RECONSTRUCTION; METHOD OF MOMENTS;

FEATURE SELECTION; MARKOV BLANKET; OPTIC NERVE IMAGES; ZERNIKE MOMENTS;

FEATURE EXTRACTION;

EID: 28444459910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icmlc.2005.1527847     Document Type: Conference Paper

References (16)

1. G. Zinser, R.W. Wijnaendts-van-Resand, A.W. Dreher. "Confocal Laser Tomographic Scanning of the Eye", Proc. SPIE 1161, 1980, pp. 337-344,
2. B.A. Ford, P.M. Artes, T.A. McCormick, M.T. Nicolela, R.P. LeBlanc, B.C. Chauhan. "Comparison of Data Analysis Tools for Detection, of Glaucoma with The Heidelberg Retina Tomograph", Ophthalmology 110 (6) 2003, pp 1145-1150.
3. Yu. V. Vorobyev, "Method of Moments in Applied Mathematics", Gordon and Breach Science Publishers, New York, 1965.
4. C.H. Teh, R.T.Chin, "On Image Analysis by the Methods of Moments," IEEE Trans. Pattern Analysis by Machine Intelligence 10(4), July 1998, pp. 96-513.
5. R. Kohavi, G. John, "Wrappers for Feature Subset Selection", Artificial Intelligence Journal, Vol. 97 (1-2).
6. th Intl. Conf. on Machine Learning, 1996, pp. 284-292.
7. I.Guyon, A. Elisseeff, "An Introduction to Variable and Feature Selection", Journal of Machine Learning research, vol. 3, 2003, pp. 1157-1182.
8. A.L. Blum, P.Langley, "Selection of Relevant Features and Examples in Machine Learning", Artificial Intelligence, 1997, pp. 245-271
9. A.Khotanzad, J. Lu, "Classification of Invariant Image Representations Using a Neural Network", IEEE Trans Acoustics, Speech, and Signal Processing, Vol. 38, 1990, pp. 1028-1038.
10. E.R. Hruschka Jr., E.R. Hruschka, N.F.F. Ebecken, "Feature Selection by Bayesian Network", Canadian AI Conference, LNAI 3060, Springer Verlag, 2004, pp. 370-279.
11. C. Bowd, K. Cban, L.M. Zangwill, M.H. Goldbaum, T. Lee, T.J. Sejnowski, R.N. Weinreb, "Comparing Neural Networks and Linear Discriminant Functions for Glaucoma Detection using Confocal Scanning Laser Opthalmoscopy of the Optic Disc," Investigative Opthalmology & Visual Science, Vol. 43 (11), 2002.
12. J. Park, J. Reed, Q. Zhou, "Active Feature Selection in Optic Disc Nerve Data using Support Vector Machine", IEEE World Congress on Computational Intelligence, 2002.
13. N.V. Swindale, G. Stjepanovic, A. Cbin, F. Mikelberg, "Automated Analysis of Normal and glaucomatous optic nerve head topography images", Investigative Opthalmology & Visual Science, Vol. 41 (7), 2000.
14. S. Cheng, Y. Huang, "A Novel Approach to Diagnose Diabetes Based on the Fractal Characteristics of Retinal Images," IEEE Trans. on Information Technology in Biomedicine, Vol.7 (3), 2003.
15. A.Peters, B. Lausen, G. Michelson, O. Gefeller, "Diagnosis of Glaucoma by Indirect Classifiers", Methods of Information in Medicine, 2003.
16. A.McIntyre, M. Heywood, P. Artes, S.S.R Abidi, "Toward Glaucoma Classification with Moment Methods", 1st Canadian Conference on Computer and Robot Vision (CRV04), 2004, London, Ontario.