Abstract
The brain is the central controlling system in the human body. If the structure of the brain changes due to the enlargement of the brain cells, it is diagnosed as a brain tumor, which can lead to fatality. The techniques such as medical imaging provide evidence of whether a patient has a brain tumor or not. This paper discusses various machine learning techniques for brain tumor detection using MRI and provides a performance analysis of such methods based on the state-of-the-art. A comparison of ANN and CNN-based models have also been given after implementing the techniques in Tensorflow to understand the potential benefits of using deep learning-based techniques.
Keywords: ANN, Brain Tumor, CNN, Deep Learning, Machine learning, MRI.
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