Tumor Detection and Classification using Decision Tree in Brain MRI
- Janki Naik
- Prof Sagar Patel
Association Rule Mining, Decision Tree Classification, Feature Extraction, Tumor Detection
The main focus of image mining is concerned with the classification of brain tumor in the brain MRI images. The proposed method is used to classify the medical images for diagnosis. Steps involved in this system are: pre-processing, feature extraction, association rule mining and classification. Here, we present some experiments for tumor detection in MRI images. The pre-processing step has been done using the median filtering process and features have been extracted using texture feature extraction technique. The extracted features from the CT scan images are used to mine the association rules. In this system we are going to use Decision Tree classification algorithm. The proposed method improves the efficiency than the traditional image mining methods. Here, results which we get are compared with Naive Bayesian classification algorithm
Janki Naik, Prof Sagar Patel. "Tumor Detection and Classification using Decision Tree in Brain MRI".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.1, Issue 1, pp.49 - 53, URL :https://rjwave.org/ijedr/papers/IJEDR1301010.pdf
Volume 1 Issue 1
Pages. 49 - 53
