We have developed a multi-classifier system for automatic classification of pulmonary nodules in lung CT (Computed Tomography) images. The system consists of a set of independent modules, each emulating a radiologist of a team, and a further module aimed at appropriately combining theradiologists' opinions. In the experiments we obtained a sensitivity of 95% against a specificity of 91.33%, adopting a combiner based on the decision templates technique.
Index Terms:
Nodule diagnosis, computer-aided diagnosis system, multi-classifier system, decision fusion
Citation:
Michela Antonelli, Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni, Dan Stefanescu, "A Multi-Classifier System for Pulmonary Nodule Classification," cbms, pp.587-589, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008