Hyperspectral imaging with wavelet transform for classification of colon tissue biopsy samples

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7073, Issue , 2008, Pages

  Masood, Khalid ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATIONS; ATMOSPHERICS; AUTOMATIC INDEXING; BIOPSY; DIGITAL ARITHMETIC; DIGITAL IMAGE STORAGE; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGING SYSTEMS; SUPPORT VECTOR MACHINES; THREE DIMENSIONAL; VECTORS; WAVELET TRANSFORMS;

AUTOMATIC CLASSIFICATIONS; BIOPSY SAMPLES; CLASSIFICATION ACCURACIES; COLON TISSUES; HISTOPATHOLOGICAL ANALYSES; HYPERSPECTRAL DATUMS; HYPERSPECTRAL IMAGING; MEDICAL IMAGERIES; MEDICAL IMAGES; SPATIAL ANALYSES; SUPPORT VECTORS; TEXTURAL FEATURES; WAVELET DOMAINS;

MEDICAL IMAGING;

EID: 56349109592     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.797667     Document Type: Conference Paper

References (15)

1. T. Mattfeldt, H. Gottfried, and V. Schmidt, "Classi.cation of spatial textures in benign and cancerous glandular tissues by stereology and stochastic geometry using arti.cial neural networks," Journal of Microscopy, 2000.
2. N. S. O.ce, "Cancer statistics and registrations for england and wales," HMSO, 2005.
3. D. Rowe, E. Claridge, and T. Ismail, "Analysis of multispectral images of the colon to reveal histological changes characteristic of cancer," Proceedings MIUA, 2006.
4. R. Lilien, H. Farid, and B. Donald, "Probabilistic disease classi.cation of expression-dependent proteomic data from mass spectrometry of human serum," Journal of Computational Biology, 2003.
5. T. Furey, N. Cristianini, and N. D. et al, "Support vector machine classi.cation and validation of cancer tissue samples using microarray expression data," Bioinformatics, 2000.
6. C. Yeang, S. Ramaswamy, and P. T. et al, "Molecular classi.cation of multiple tumor types," Bioinformatics, 2001.
7. A. Todman, R. Naguib, and M. Bennen, "Visual characteristics of colon images," Proceedings IEEE CCECE, 2001.
8. R. Gottmukul and V. K. Asari, "An improved face recognition technique based on modular pca approach," Pattern Recognition Letters, vol. 25, pp. 429-436, 2004.
9. P. Belhumeur, J. Hesponha, and D. Kriegman, "Eigenfaces vs Fisherfaces: Recognition using class speci.c linear projection," IEEE Trans. Pattern Analysis and Machine Intelligence, 1997.
10. I. Daubechies, "Ten lectures on wavelets," Capital City Press, Montpellier, Vermont, 1992.
11. J. Yang, D. Zhang, and A. Frangi, "Two-dimensional PCA: A new approach to appearance-based face representation and recognition," IEEE transactions on PAMI, 2004.
12. V. Vapnik, "The nature of statistical learning theory," Springer-Verlag, New York, 1995.
13. K. M. Rajpoot and N. M. Rajpoot, "Hyperspectral colon tissue cell classi.cation," SPIE Medical Imaging (MI), 2004.
14. G. Davis, M. Maggioni, and R. C. et al, "Spectral/spatial analysis of colon carcinoma," Journal of Modern Pathology, 2003.
15. K. Masood and N. Rajpoot, "Classi.cation of colon biopsy samples by spatial analysis of a single spectral band from its hyperspectral cube," Proceedings MIUA, 2007.