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  Published Paper Details:

  Paper Title

DETECTION OF BRAIN TUMOR USING AI ALGORITHMS

  Authors

  V. Devasekhar,  Dr. P. Natarajan,  T. Varun

  Keywords

K Nearest Neighbour, Convolutional Neural Network, Symptoms, Brain Tumor.

  Abstract


In the human body, the most important and the complex organs work with billions of cells in the brain. The abnormal growth or uncontrolled division of cells around the brain will cause a brain tumor. These group of cells which effect the functioning of the brain and also destroys the human cells. In the olden days, the detection of brain tumors is way much harder than now-a-days. The usage of modern computer vision techniques has made the detection to be more accurate and easy. In this paper, firstly the detection of tumor in the brain was performed using a K-Nearest Neighbour (KNN) Machine Learning (ML) model which classifies the symptoms, as the brain tumor and then Magnetic Resonance Images (MRI) Scans are used for the further confirmation. The KNN model has an accuracy of 97% whereas the Convolutional Neural Network (CNN) Model used in this paper is 99% accurate.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2105275

  Paper ID - 202366

  Page Number(s) - c531-c537

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  V. Devasekhar,  Dr. P. Natarajan,  T. Varun,   "DETECTION OF BRAIN TUMOR USING AI ALGORITHMS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.c531-c537, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105275.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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