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A Clinical Support System for Brain Tumor Classification Using Soft Computing Techniques

  • P. Rupa Ezhil ArasiEmail author
  • M. Suganthi
Image & Signal Processing
  • 35 Downloads
Part of the following topical collections:
  1. Wearable Computing Techniques for Smart Health

Abstract

A brain tumor is an accumulation of abnormal cells in human brain. As tumor increases in size, it induces brain damage. Hence it is essential to diagnose the type of brain tumor. The effective modality used for brain tumor diagnose is MRI because of its remarkable image resolution, the speed of acquisition, and high safety profile for patients. The analysis of brain MRI is an important part of patient care and decision. Hence in the proposed Clinical Support System, the brain MRI image is preprocessed using Genetic Optimized Median Filter followed by brain tumor region segmentation using Hierarchical Fuzzy Clustering Algorithm. The features of the tumor region are extracted through GLCM feature extraction method. Lion Optimized Boosting Support Vector machine model is used for further classification of tumor by Brain Tumor Image Segmentation (BraTS) dataset. Hence the proposed clinical support system provides an integrated model for Detection and classification of brain tumor which assists the doctors in appropriate evaluation of tumor.

Keywords

Brain tumor Preprocessing Segmentation Genetic optimized median filter Hierarchical fuzzy clustering GLCM Lion optimization technique Boosting support vector machine 

Notes

Compliance with ethical standards

Conflict of interest

We(Authors and Co-Authors) have no conflicts of Interests. The Paper is not submitted to any other Journals.

Ethical approval (Involving human participants and/or animals)

This article does not contain any studies involving human participants or animals performed by any of the authors.

Informed consent

The article does not use any animal or human participants. So, it is not applicable.

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringMuthayammal Engineering CollegeTamilnaduIndia
  2. 2.Department of Electronics and Communication EngineeringMahendra College of EngineeringTamilnaduIndia

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