International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Brain tumours are often considered one of the most aggressive types of cancer. Historically, they were identified using conventional deep learning methods via MRI. Currently, studies are transitioning to advanced models that can analyse MRI scans to identify and classify tumours. Tumours are formed by abnormal cell growth in brain tissue and can be benign or malignant. Since treatment effectiveness and survival rates can be improved with early identification, this paper focuses on supervised learning approaches, such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), to provide better and faster early detection.

Keywords: Brain tumour, Convolutional Neural Network, Recurrent Neural Network, Deep learning, Magnetic Resource Imaging (MRI), Artificial Intelligence, Medical Imaging, Early Detection, Tumour Classification.

Downloads: | DOI: 10.17148/IJARCCE.2025.14906