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Proceedings Paper

Hyperspectral imaging with wavelet transform for classification of colon tissue biopsy samples
Author(s): Khalid Masood
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Paper Abstract

Automatic classification of medical images is a part of our computerised medical imaging programme to support the pathologists in their diagnosis. Hyperspectral data has found its applications in medical imagery. Its usage is increasing significantly in biopsy analysis of medical images. In this paper, we present a histopathological analysis for the classification of colon biopsy samples into benign and malignant classes. The proposed study is based on comparison between 3D spectral/spatial analysis and 2D spatial analysis. Wavelet textural features in the wavelet domain are used in both these approaches for classification of colon biopsy samples. Experimental results indicate that the incorporation of wavelet textural features using a support vector machine, in 2D spatial analysis, achieve best classification accuracy.

Paper Details

Date Published: 15 September 2008
PDF: 8 pages
Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 707319 (15 September 2008); doi: 10.1117/12.797667
Show Author Affiliations
Khalid Masood, Univ. of Warwick (United Kingdom)

Published in SPIE Proceedings Vol. 7073:
Applications of Digital Image Processing XXXI
Andrew G. Tescher, Editor(s)

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