An Improved Image Mining Technique For Brain Tumour Classification Using Efficient Classifier

An improved image mining technique for brain tumor classification using pruned association rule with MARI algorithm is presented in this paper. The method proposed makes use of association rule mining technique to classify the CT scan brain images into three categories namely normal, benign and malign. It combines the low-level features extracted from images and high level knowledge from specialists. The developed algorithm can assist the physicians for efficient classification with multiple keywords per image to improve the accuracy. The experimental result on pre-diagnosed database of brain images showed 96% and 93% sensitivity and accuracy respectively. Keywords-Data mining; Image ming; Association rule mining; Medical Imaging; Medical image diagnosis;. Classification.