Volume - 3 | Issue - 4 | december 2021
DOI
10.36548/jei.2021.4.005
Published
27 April, 2022
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.
KeywordsImage segmentation CNN Augmentation Image classification MRI