1. A method for training a classifier for classifying candidate regions in computer aided diagnosis of digital medical images, said method comprising the steps of: providing a training set of images, each said image including one or more candidate regions that have been identified as suspicious by a candidate generation step of a computer aided diagnosis system, and wherein each said image has been manually annotated to identify malignant regions; and using information about the number of candidate regions that overlap a same identified malignant region to train a classifier, wherein said classifier is adapted to classifying a suspicious region in a new image as malignant or benign.