1. A method for training a classifier to be operative as an epithelial texture classifier, the method comprising the steps of: obtaining a plurality of training micrograph areas of biopsy tissue; for each of the training micrograph areas: identifying probable locations of nuclei that form epithelia; generating a skeleton graph from the probable locations of the nuclei that form the epithelia; with a graphical user interface, manually drawing walls on the skeleton graph outside of the epithelia to divide the epithelia from one another; with the graphical user interface, manually selecting points that lie entirely inside the epithelia to generate open and/or closed geodesic paths in the skeleton graph between pairs of the selected points; and applying data obtained from points selected from the walls and the paths to a classifier to train the classifier as the epithelial texture classifier.