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Comparative Study for Brain Tumor Classification on MR/CT Images

  • Ankit Vidyarthi
  • Namita Mittal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 258)

Abstract

The objective of this study is to find out the algorithms and approaches that have been used for the classification of multiclass brain tumors as specified by the World Health Organization (WHO) in Computed Tomography (CT) or Magnetic Resonance (MR) images. From the past several years lot of researchers focused in current domain and came up with new ideas and facts for proper diagnosis of the tumor cells. The accuracy results of their study give the implication of how well their ideas was found to give more accurate results of classifying tumors type into their correct classes. In this whole study, focus was made on supervised classification approaches on 2D MRI or CT images of multi class brain tumors. This paper gives the comparative study of various approaches that was used to identify the tumor cells with correct class labels.

Keywords

Brain tumor classification Magnetic resonance imaging Computed tomography 

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Copyright information

© Springer India 2014

Authors and Affiliations

  1. 1.Malaviya National Institute of TechnologyJaipurIndia

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