STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Computer Technology & Applications

BRAIN TUMOR DETECTION USING MACHINE LEARNING AND GAUSSIAN MIXTURE MODEL

  1. Parimala Geetha k

Abstract

This paper provides an machine learning approach for the detection of brain tumors. The modified GMM approach is used for the detection of tumors. The ARFF dataset of tumor image is created. The training dataset is created and the efficiency of the approach is tested against the test dataset. The detection rate is 98.5.Keywords: GMM, Machine learning, technology, brain tumor, ARFF datasetCite this Article: Parimala Geetha K, C. Anna Palagan, Vicky Nair, T. Rajani. Brain Tumor Detection Using Machine Learning and Gaussian Mixture Model. Journal of Computer Technology & Applications. 2020; 11(2): 1–4p.
Support