Realization Methods of Computer-aided Diagnosis System of Medical Images

摘要

In this paper, medical images are used to realize the Computer-Aided Diagnosis (CAD)system, which develops targeted solutions to existing problems. Relying on the MiCOM platform,this system has collected and collated cases of all kinds, based on which a unified data model is constructedaccording to the gold standard derived by deducting each instance. Afterwards, the objectsegmentation algorithm is employed to segment the diseased tissues. Edge modification and featureextraction are performed for the tissue block segmented. The features extracted are classified byapplying support vector machines or the Naive Bayesian classification algorithm. From the simulationresults, the CAD system developed in this paper allows the realization of diagnosis and treatmentand sharing of data resources.