Paper Contents
Abstract
A brain tumor is understood by the scientific community as the growth of abnormal cells in the brain, some of which can lead to cancer. The traditional method to detect brain tumors is nuclear magnetic resonance imaging (MRI). Having the MRI images, information about the uncontrolled growth of tissue in the brain is identified. In several research articles, brain tumor detection is done through the application of Machine Learning and Deep Learning algorithms. When these systems are applied to MRI images, brain tumor prediction is done very quickly, and greater accuracy helps to deliver treatment to patients. These predictions also help the radiologist to make quick decisions. In the proposed work, a set of Convolutional Neural Networks (CNN) are applied to detect the presence of a brain tumor, and its performance is analyzed through different metrics.
Copyright
Copyright © 2025 E. SANDHIYA. This is an open access article distributed under the Creative Commons Attribution License.
