Journal of Electronics and Informatics
IRO Journals
Volume 3 — Issue 4 — December 2021

Brain Tumour Detection Using Machine Learning

https://doi.org/10.36548/jei.2021.4.005
Manav Sharma
Department of Computer Science & Engineering, SET, Sharda University
Pramanshu Sharma
Department of Computer Science & Engineering, SET, Sharda University
Ritik Mittal
Department of Computer Science & Engineering, SET, Sharda University
Kamakshi Gupta
Assistant professor, Department of Computer Science & Engineering, SET, Sharda University
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How to Cite

Sharma, Manav, Pramanshu Sharma, Ritik Mittal, and Kamakshi Gupta. 2022. “Brain Tumour Detection Using Machine Learning”. Journal of Electronics and Informatics 3 (4): 298-308. https://doi.org/10.36548/jei.2021.4.005.
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Keywords

— Image segmentation
— CNN
— Augmentation
— Image classification
— MRI
Published: 27-04-2022

Abstract

This paper presents a model which is based on machine learning algorithms to detect brain tumours from magnetic resonance images with high accuracy. A Convolutional Neural Network (CNN) has been used as the algorithm for feature extraction, and segmentation. The dataset used has been acquired from an internet website. The results show that this technique is promising and the accuracy of 97.79% has been achieved.

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