Internet of things mathematical approach for detecting brain tumor

  • Authors

    • Noor Kareem Jumaa Al-Mansour University College
    • Auday A.H Mohamad Al-Mansour University College
    • Sameer Hameed Majeed Al-Mansour University College
    2018-10-06
    https://doi.org/10.14419/ijet.v7i4.16283
  • Internet of Things, Health care, Brain tumor, MRI, SVM.

  • Abstract

    Brain is highly important organ which makes us able to walk, breath, and all other activities; without brain lives can’t do all of that. The importance of brain functions made it critical to make any not precisely measured medical action. Currently; computer vision is very important in medical field, where it helps specialists to precisely diagnose and take the right decision before making surgeries. This article worked on accommodating the technology of internet of things (IoT) for serving brain medicine specialist in the field of identifying the need of making surgeries depending on magnetic resonance imaging (MRI) images. Support Vector Machine (SVM) algorithm is used to detect brain tumor and segment it from MRI morphological images. Putting SVM on IoT Thingspeak platform will help brain specialist to diagnose MRI images that are received from MRI computerized system online. The obtained results are compared with same algorithm implemented locally with assist of Matlab program version R2017a.

     

     

  • References

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  • How to Cite

    Kareem Jumaa, N., A.H Mohamad, A., & Hameed Majeed, S. (2018). Internet of things mathematical approach for detecting brain tumor. International Journal of Engineering & Technology, 7(4), 2779-2783. https://doi.org/10.14419/ijet.v7i4.16283

    Received date: 2018-07-26

    Accepted date: 2018-09-23

    Published date: 2018-10-06