1. A method of classifying detection inputs as belonging to a first class or a second class depending on a numerical score associated with each detection input, wherein the detection input comprises a digital image, comprising the steps of: segmenting each detection input into a multiplicity of regions of interest; scoring the multiplicity of regions of interest to produce a set of scores; determining a mean value of the set of scores of the multiplicity of regions; comparing each of the scores with a first threshold, the first threshold being two standard deviations exceeding the mean value of the set of scores of the multiplicity of regions, if at least one score exceeds the first threshold, classifying in the first class all regions of interest having a score that exceeds a second threshold, wherein the second threshold has a value lower than the first threshold, and if no score exceeds the first threshold, classifying each region of interest in the second class.