  We are developing a computer-aided detection (CAD) system for the
identification of small pulmonary nodules in screening CT scans. The main
modules of our system, i.e. a dot-enhancement filter for nodule candidate
selection and a neural classifier for false positive finding reduction, are
described. The preliminary results obtained on the so-far collected database of
lung CT are discussed.
