Abstract
The assessment of solitary pulmonary nodules (SPNs) is a diagnostic task that requires precision. We have investigated alternative ways of SPN classification working on both Positron Emission Tomography (PET) and Computed Tomography (CT) images as well as on re-calculated sinograms. The best classification schemes have been included in a graphical interface accompanied with risk estimators based on clinical and other data. This is a forerunner for an SPN Computer Aided Diagnosis (CAD) system expected to be a precious tool in the hands of medical doctors.
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