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.