Manuscript Number : IJSRST229249
Brain Tumor DetectionwithVGG-16 Model
Authors(5) :-R. Vadivel, Arnab Kumar Das, Uthej Kumar G, SK Abdul Sajid, Aaliya Ahmed K 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].
R. Vadivel Brain Tumor Classification, VGG-16CNN Model Publication Details
Published in : Volume 9 | Issue 2 | March-April 2022 Article Preview
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
Date of Publication : 2022-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 279-283
Manuscript Number : IJSRST229249
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST229249
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