Critical Analysis of Brain Magnetic Resonance Images Tumor Detection and Classification Techniques

Zahid Ullah,Su-Hyun Lee,Donghyeok An

doi:10.14569/ijacsa.2020.0110156

Abstract

The image segmentation, tumor detection and extraction of tumor area from brain MR images are the main concern but time-consuming and tedious task performed by clinical experts or radiologist, while the accuracy relies on their experiences only. So, to overcome these limitations, the usage of computer-aided design (CAD) technology has become very important. Magnetic resonance imaging (MRI) and Computed Tomography (CT) are the two major imaging modalities that are used for brain tumor detection. In this paper, we have carried out a critical review of different image processing techniques of brain MR images and critically evaluate these different image processing techniques in tumor detection from brain MR images to identify the gaps and limitations of those techniques. Therefore, to obtain precise and better results, the gaps can be filled and limitations of various techniques can be improved. We have observed that most of the researchers have employed these stages such as Pre-processing, Feature extraction, Feature reduction, and Classification of MR images to find benign and malignant images. We have made an effort in this area to open new dimensions for the readers to explore the concerned field of research.

Highlights

Due to abnormal cell development, the brain tumor begins and grows in an uncontrolled way
Support vector machine works effectively, the accuracy of support vector machine (SVM) gets affected on small datasets
The classification of brain Magnetic resonance imaging (MRI) image task was mostly performed by using artificial neural network (ANN), K-NN, SVM, and Self-Organization Map (SOM)

Summary

Introduction

Due to abnormal cell development, the brain tumor begins and grows in an uncontrolled way. The grade 1 level is the least dangerous tumor and this type of tumor grows slowly and gradually. For this type of tumor grade, treatment via surgery might be successful. Ganglioglioma, gangliocytoma, and pilocytic astrocytoma are the different cases of grade 1 brain tumor. Grade 2 tumor grows slowly [24], and this type of tumor looks irregular using the microscopic instrument. The third one is grade 3 tumor which is malignant and there is no significant difference between grade 3 and grade 2. The maximum malignant tumor is grade 4 and the example of grade 4 tumor is Glioblastoma Multiforme [25]

Objectives

Findings

Discussion

Conclusion