Brain Tumor DetectionwithVGG-16 Model

Authors

  • R. Vadivel  Assistant Professor, Department of CSE, HKBKCE, Bangalore, Karnataka, India
  • Arnab Kumar Das  Assistant Professor, Department of CSE, HKBKCE, Bangalore, Karnataka, India
  • Uthej Kumar G  Assistant Professor, Department of CSE, HKBKCE, Bangalore, Karnataka, India
  • SK Abdul Sajid  Assistant Professor, Department of CSE, HKBKCE, Bangalore, Karnataka, India
  • Aaliya Ahmed K  Department of CSE, HKBKCE, Bangalore, Karnataka, India

DOI:

https://doi.org/10.32628/IJSRST229249

Keywords:

Brain Tumor Classification, VGG-16CNN Model

Abstract

A brain tumor is a life-threatening neurological condition caused by the unregulated development of cells inside the brain. Brain tumor can be very unforgiving to all age groups. The patient’s survival rate is usually very less, if they are not treated properly. Braintumorsaccountfor85%to90%ofallprimarycentral nervous system (CNS) tumors. Most ofthe times, survival rates decrease significantly with the age. While the anatomy of brain is more complex than any other vital organ, It becomes very crucial to find outthechancesofpeopledevelopingbraintumorinlaterstagesoflife.The segmentation, diagnosis, and isolation of contaminated tumor areas of brain from magnetic resonance (MRI) images is a prime concern. However, it is a very tedious and more time-consuming process that radiologists or clinical specialists must undertake and it soley depends on their performance and their expertise. In this paper, the different traditional and hybrid ML models were built and analyzed in detail, to classify the brain tumor images without any human intervention.Thefigureoffindingbraintumorinanindividuallifetimeis1inevery100[4].

References

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International Journal of Scientific Research in Science and Technology

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Published

2022-04-30

Issue

Volume 9, Issue 2, March-April-2022

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

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

How to Cite

[1]
R. Vadivel, Arnab Kumar Das, Uthej Kumar G, SK Abdul Sajid, Aaliya Ahmed K "Brain Tumor DetectionwithVGG-16 Model" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 2, pp.279-283, March-April-2022. Available at doi : https://doi.org/10.32628/IJSRST229249