Open AccessBrain Tumour Detection Using Machine Learning
Author(s) -
Mayank Sharma,
Pramanshu Sharma,
Ritik Mittal,
K. C. Gupta
Publication year - 2022
Publication title -
journal of electronics and informatics
Language(s) - English
Resource type - Journals
ISSN - 2582-3825
DOI - 10.36548/jei.2021.4.005
Subject(s) - convolutional neural network , computer science , artificial intelligence , segmentation , pattern recognition (psychology) , feature extraction , machine learning , feature (linguistics) , artificial neural network , the internet , deep learning , philosophy , linguistics , world wide web
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.