Abstract

The proposed method deals with the detection of brain tumor in the CT scan brain images. The preprocessing technique applied on the images eliminates the inconsistent data from the CT scan brain images. Then feature extraction process is applied to extract the features from the brain images. A Novel Fuzzy Association Rule Mining (NFARM) applied on the image transaction database which contains the features that are extracted from the CT scan brain images. A new test image has been tested with the mined (NFARM) rules. The proposed NFARM gives the diagnosis keywords to physicians for making a better diagnosis system. The experimental results of the proposed method gives better performance compared to the traditional Fuzzy Apriori algorithm.

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