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Internet of Things and Big Data Technologies for Next Generation Healthcare pp 335–358Cite as

A Decision Support System in Brain Tumor Detection and Localization in Nominated Areas in MR Images

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Part of the book series: Studies in Big Data ((SBD,volume 23))

Abstract

Manual brain tumor detection is time-consuming and bestows ambiguous classification. Hence, there is a needed for automated classification of brain tumor. With brain segmentation, the pixels within an image can be divided into sub regions or areas that they have similar features or characteristics for identification and detection of different objects. Segmentation of magnetic resonance (MR) image of human brain has got significant focus in the field of biomedical image processing. MR image segmentation has a wide application in medicine. This act can increase accuracy, and it helps doctors to minimize the errors. Tumor detection system can be used as a decision and diagnosis support system by doctors, nurses and who is working in this area. The proposed method for tumor segmentation is implemented in three stages by using image processing and machine learning approaches: extract histogram and train SVM, remove skull bone and k-mean clustering. The experimental results shown a high accurate detection of the tumor.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, Kharazmi University, #242, Somayeh Street, Between Qarani & Vila, Tehran, Iran

    O.M. Ebadati E.

  2. Department of Knowledge Engineering and Decision Science, Kharazmi University, #242, Somayeh Street, Between Qarani & Vila, Tehran, Iran

    M. Mortazavi T.

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  1. O.M. Ebadati E.
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  2. M. Mortazavi T.
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Correspondence to O.M. Ebadati E. .

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Editors and Affiliations

  1. U & P U Patel Department of Computer Eng, Charotar University of Science and Tech U & P U Patel Department of Computer Eng, Changa, India

    Chintan Bhatt

  2. Department of Information Technology, Techno India College of Technology Department of Information Technology, Kolkata, India

    Nilanjan Dey

  3. Faculty of Engineering, Tanta University Faculty of Engineering, Tanta, Egypt

    Amira S. Ashour

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Ebadati E., O., Mortazavi T., M. (2017). A Decision Support System in Brain Tumor Detection and Localization in Nominated Areas in MR Images. In: Bhatt, C., Dey, N., Ashour, A. (eds) Internet of Things and Big Data Technologies for Next Generation Healthcare. Studies in Big Data, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-49736-5_14

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  • DOI: https://doi.org/10.1007/978-3-319-49736-5_14

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-49736-5

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