Analysis of Malignant Brain Tumor Automated Detection by Artificial Intelligence and MRI Dataset

A brain tumor is a growth of abnormal cells around the brain. Brain tumors can be benign (not cancerous) or malignant (cancerous). Whether benign or malignant, brain tumors can damage surrounding tissues in the brain. In addition, tumors become increasingly harmful as they grow and their impact can depend on their location. For example, tumors found in the cerebellum can affect movement and tumors found in the optic nerve can affect vision. In this research we explored classifying malignant and benign tumors using artificial intelligence (AI) analysis with CNN, KNN, logistic regression, and stacking model. To accomplish this goal, we analyzed a dataset of MRI images containing images of both malignant and benign brain tumors. Furthermore, we increased the accuracy of malignant brain tumor detection by augmenting this dataset with information about lobe location of the tumors.