1. A method of classifying, with respect to a predefined disease, an optical tomographic image of a living sample tissue, comprising: using optical tomographic imaging to generate a set of images of tissue samples, including diseased ones having the predefined disease and healthy ones not having the predefined disease; extracting a plurality of features from the images, the features representing optical properties of a sample tissue; statistically analyzing each of the features and selecting responsively to a result of the statistically analyzing, the features providing greater predictive accuracy as to the presence of the disease than other features when applied to a predefined classifier; using the subset of features with the predefined classifier to classify further tissue samples; wherein the images include, for each tissue sample, multiple structured images combined, to form at least one of the features, into a planar image from which the at least one of the features is extracted.