1. A method for utilizing Computational Intelligence (CI) techniques with different learning methods in a computer-aided detection, review and diagnosis (CAD) system comprising: cluster types of abnormal findings using unsupervised learning method; train a number of classifiers with appropriate learning algorithms; combine in three different manners to produce one classifier; the classifier can be operated at three different operating points; use a fuzzy system to map the findings to diagnostic reports; calculate the finding statistics based on Bayesian probability.