1. A classifier ( 20 ) comprising: at least one of a linear discriminant processor, a support vector machine, a neural network, a Bayesian processor, a decision tree, and a nearest neighbor processor which has been taught by a feature matrix ( 18 , 18 ′) made up of feature vectors (F 1 1 ,. .. , F k m ), each feature vector (F) of the feature matrix having been generated by processing diagnostic image data with each of a plurality of image processing algorithms and one or more feature extraction algorithms.