A Review on Some Classification Methods of Brain Tumor MRI Datasets

Authors

  • Nirmal Mungale  Department of Information Technology, G. H. Raisoni College of Engineering, Nagpur, India
  • Snehal Kene  Department of Information Technology, G. H. Raisoni College of Engineering, Nagpur, India
  • Amol Chaudhary  Mechanical Engineering Department, G. H. Raisoni College of Engineering, Nagpur, India

DOI:

https://doi.org/10.32628/CSEIT2062114

Keywords:

Magnetic Resonance Imaging, Brain Tumor, CT Scan, SPECT, X-Ray

Abstract

Brain tumor is a life-threatening disease. Brain tumor is formed by the abnormal growth of cells inside and around the brain. Identification of the size and type of tumor is necessary for deciding the course of treatment of the patient. Magnetic Resonance Imaging (MRI) is one of the methods for detection of tumor in the brain. The classification of MR Images is a difficult task due to variety and complexity of brain tumors. Various classification techniques have been identified for brain MRI tumor images. This paper reviews some of these recent classification techniques.

References

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-04-30

Issue

Volume 6, Issue 2, March-April-2020

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Nirmal Mungale, Snehal Kene, Amol Chaudhary, " A Review on Some Classification Methods of Brain Tumor MRI Datasets" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.421-424, March-April-2020. Available at doi : https://doi.org/10.32628/CSEIT2062114