Machine Learning and Deep Learning Approaches for Brain Tumor Identification

A Josephin Arockia Dhivya*, Mohammed Younus, Tamilselvan K, Jaya Rubi and Muraliraja R
¹Assistant Professor, Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, PV Vaithiyalingam Road, Velan Nagar, Krishnapuram, Pallavaram, Chennai, Tamil Nadu, India
²Student, Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, PV Vaithiyalingam Road, Velan Nagar, Krishnapuram, Pallavaram, Chennai, Tamil Nadu, India
*Corresponding Author: A Josephin Arockia Dhivya, Assistant Professor, Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, PV Vaithiyalingam Road, Velan Nagar, Krishnapuram, Pallavaram, Chennai, Tamil Nadu, India.

Published: January 04, 2024

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Abstract  

Brain is the contolling centre of our body. As time changes, more modern and new mind diseases are being observed and identified. Accordingly, due to the range of brain diseases that are present, recent diagnosis or detection structures have been tough and nonetheless an open hassle for its studies. Detection of brain sickness in early stage could make a huge difference in an attempt to treat them. Current diagnosis systems are getting difficult and detection systems are still an open hassle for studies.

Keywords: MRI image; Brain tumor; Image pre processing; Matlab software

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