Role of classification algorithms on brain mri data

Authors

  • MUKULIKA PANDA Institute of Technical Education and Research, Siksha ‘O’ Anusandhan University ,Bhubaneswar
  • SASHIKALA MISHRA Department of Computer Engineering, International Institute of Information Technology, Pune,
  • KAILASH SHAW Department of Computer Engineering, D Y Patil College of Engineering, Akurdi, Pune
  • DEBAHUTI MISHRA Institute of Technical Education and Research, Siksha ‘O’ Anusandhan University ,Bhubaneswar

Keywords:

Image, Classification, PCA, Kernel Functions, SVM

Abstract

Image classification is an important problem of computer vision. In the world of medical science everyday doctors are encountered with various types of image related problem. Pattern classification is a solution to categorize the images. In this paper we have considered the medical dataset like Brain Tumor.To select the appropriate features PCA has been used in the paper.The Otsu’s method is used to find a segmented image of brain MRI data where as for classification SVM with various kernel functions has been implemented and the result has been established in the manuscript.

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Published

31.12.2016

How to Cite

MUKULIKA PANDA, SASHIKALA MISHRA, KAILASH SHAW, & DEBAHUTI MISHRA. (2016). Role of classification algorithms on brain mri data. International Journal of Pharma and Bio Sciences, 7(4), 777–782. Retrieved from https://ijpbs.net/index.php/journal/article/view/5551

Issue

Volume 7, Issue 4, 2016

Section

Review Articles

Categories

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.