Identification of Brain Tumor using Image Processing Technique: Overviews of Methods

International Journal of Computer Science and Engineering

© 2016 by SSRG - IJCSE Journal

Volume 3 Issue 10

Year of Publication : 2016

Authors : Rohan K. Gajre, Savita A. Lothe, Santosh G. Vishwakarma

10.14445/23488387/IJCSE-V3I10P114

How to Cite?

Rohan K. Gajre, Savita A. Lothe, Santosh G. Vishwakarma, "Identification of Brain Tumor using Image Processing Technique: Overviews of Methods," SSRG International Journal of Computer Science and Engineering , vol. 3,  no. 10, pp. 48-52, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I10P114

Abstract:

A brain tumor is an abnormal growth of tissue in the brain or central spine that can disrupt proper brain function. Doctors refer to a tumor based on where the tumor cells originated, and whether they are cancerous (malignant) or not (benign). According to the National Brain Tumor Society types of brain are divided into Benign, Malignant, Primary and Metastatic. Over 10,600 people in the UK are diagnosed with a brain tumor each year. It shows that it is the need to detect the brain tumor as early as possible. This paper introduces the brain tumor with symptoms and signs that affect the brain tumor. And overviews of different methods to detect and diagnosis brain tumor using various image processing algorithm includes image processing, enhancement, segmentation, feature extraction and classification.

Keywords:

MRI, CT, Preprocessing, Segmentation, Classification.

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