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Realization Methods of Computer-aided Diagnosis System of Medical Images


Muhammad Aqeel Ashraf* and Shahreen Kasim   Pages 1 - 5 ( 5 )


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 Mi COM platform, this system has collected and collated cases of all kinds, based on which a unified data model is constructed according to the gold standard derived by deducting each instance. Afterwards, the object segmentation algorithm is employed to segment the diseased tissues. Edge modification and feature extraction are performed for the tissue block segmented. The features extracted are classified by applying support vector machines or the Naive Bayesian classification algorithm. From the simulation results, the CAD system developed in this paper allows realization of diagnosis and treatment and sharing of data resources.


CAD, Aided diagnosis system, DICOM, Medical imaging


School of Environmental Studies, China University of Geosciences, Wuhan 430074, Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia

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