Computer-Aided Diagnostic System Based on Liver CT Image

This paper proposes an automatic system which can perform the entire diagnostic process from the extraction of the liver to the recognition of a tumor. In particular, the proposed technique uses shape information to identify and recognize a lesion adjacent to the border of the liver, which can otherwise be missed. In addition, since the intensity of a lesion can vary greatly according to the patient and the slice taken, a decision on the threshold for extraction is not easy. Accordingly, the proposed method extracts the lesion by means of a Fuzzy cMeans clustering technique, which can determine the threshold regardless of a changing intensity. Based on experimental results, these processes produced a high recognition rate above 92%.