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Significances of Bioengineering & Biosciences

Detection and Classification of Brain Tumors by Analyzing Images from MRI Using the Support Vector Machines (SVM) Algorithm

  • Open or CloseHamidreza Shirzadfar1,2* and Alireza Gordoghli3

    1Department of Biomedical Engineering, Sheikhbahaee University, Isfahan, Iran

    2Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

    3Faculty of Literature and Foreign Languages, University of Kashan, Kashan, Iran

    *Corresponding author:Hamidreza Shirzadfar, Department of Biomedical Engineering, Email: h.shirzadfar@shbu.,, Iran

Submission: May 23, 2019;Published: June 24, 2019

DOI: 10.31031/SBB.2019.03.000563

ISSN 2637-8078
Volume3 Issue3


The brain tumor is consisted of a series of cells that grow and multiply in the brain. Brain tumors are commonly malicious because they take up the brains space which should be occupied by the tissues that play a crucial role in the vital functions of the human body. Magnetic Resonance Imaging (MRI) is a key element in cancer diagnostic and therapeutic research and clinical practice. Unlike other methods of imaging which mainly use ionizing rays, MRI, which is a more preferable method of imaging, uses a magnetic field for that purpose. In this research, we try to find the number, size, and position of the tumor by processing the MRI image under the SVM algorithm in MATLAB. We choose MATLAB over other suggested methods because it is much more accessible, to a great extent faster than other methods, and more user-friendly for academic and education purposes which makes is a better option for beginners.

Keywords: Brain; Tumor detection; Magnetic resonance imaging; MATLAB software; Image processing

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