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Research Paper | Computer Science and Information Technology | Nigeria | Volume 13 Issue 1, January 2024

Convolutional Neural Networks - Based Intelligent Model for Brain Tumor Detection on MRI Images

James Oladimeji ^[3] | Olushola Ogunniyi ^[2]

Abstract: The processing of medical images is critical in assisting people in determining whether or not an MRI image contains a tumor. To assist clinicians, an intelligent system for detecting brain tumors is required. The study's goal is to use deep learning to interpret MRI images and determine whether or not they contain tumors. The early detection of tumors is critical for a speedy and effective cure. Medical image processing utilizing a convolutional neural network (CNN) is providing outstanding results in this regard. The proposed model has a precision of 93.7 percent and a loss of 6 percent, making it in line with previous methods for detecting brain cancers. In the field of medicine, the proposed system will give clinical help.

Keywords: medical image processing, brain tumor detection, MRI interpretation, deep learning, convolutional neural network CNN

Edition: Volume 13 Issue 1, January 2024,

Pages: 229 - 236