Abstract:Computer-Aided Detection (CAD) systems are one of
the most effected tools nowadays in aiding physicians in the
detection of liver tumors at early stage. In this paper, the CADe
system will be built which has the ability to detect the abnormal
tumor inside the liver. In order to create that system, different
types of classifiers must be implemented. In our CADe system, a
support vector machine (SVM) and K-Nearest Neighbor (KNN)
will be used as classifiers. A total number of 120 images including
the normal and a… Show more
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