Application Research in Medicine Based on Texture Features Association Rules Mining
Pei Zhi-songa · Journal of Jilin University · 2012
In order to meet the requirement of medical image auxiliary diagnosis,we present a feature fusion algorithm based on Apriori algorithm: texture features and patient natural features in HIS(Hospital Information System).Accordingly,the combination of pruning methods associated rule base,prototype system for a CT(Computer Tomography) image is divided into normal and abnormal categories.Experiments were evaluated in accordance with t he system,showing that association rules established by the algorithm library,in the auxiliary doctor diagnosed,with good results.