BRAIN TUMOR DETECTION USING MACHINE LEARNING AND GAUSSIAN MIXTURE MODEL

Authors

  • Parimala Geetha k Professor Department of electronics and communication engineering NALLA MALLA REDDY ENGINEERING COLLEGE Telangana, India

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 dataset

Cite 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.

Author Biography

  • Parimala Geetha k, Professor Department of electronics and communication engineering NALLA MALLA REDDY ENGINEERING COLLEGE Telangana, India
    Doctorate degree during the year 2010. She is doing research in Face Recognition, Bio-Medical Engineering and Optical Neural Networks. She has published 20 International journals and authored two books. Five Research scholars have been awarded Ph.D. under her guidance. She is very strong in academics with 26 years of experience in teaching.

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Published

2020-08-21

Issue

Vol. 11 No. 2 (2020)

Section

Articles

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