An Efficient ML Approach to Detect Brain Tumor Using MRI Images

Brain tumors have become one of the most leading causes of death worldwide. Early diagnosis of brain tumor is really important as it spreads quickly. One of the most challenging task in medical field is tumor detection and classification. Medical data has revealed that manual tumor detection and classification with human assistance can result in an incorrect prediction and diagnosis. Recently, combining machine learning with deep learning algorithms have shown promising outcomes for enhancing the accuracy and efficiency of brain tumor detection and classification from MRI images. In our paper our main target is to find better accuracy as well as more efficient way to detect and classify brain tumor from the MRI images using Image Processing, Machine Learning and Deep Learning.