MR Image based Brain Tumor Classification with Deep Learning Neural Networks

The unique combination of Artificial Intelligence and Machine Learning, which helps the computer to imitate the ways and behaviour of human beings can be termed as deep learning. The field of deep learning is an emerging field that has gained a lot of interest toward past years. The Deep Learning have proven already to solve the complex problem using the powerful machine learning tools. One of the best deep learning algorithm is used to classify the brain tumor data set in this paper. The deep learning architecture is able to classify the brain tumor into 4 categories of images. The first being no tumor, the second being pituitary tumor, the third is meningioma and the last one classified as glioma. As we are well aware, the training datasets for the medical imaging scenario are very few. This is a challenging task to apply the deep learning that is obtained from a trained CNN model to dig up the small data set to attain the result. A pre trained CNN model is used here to solve the problem. The obtained results are good over all Performance is measured.