Brain Tumor Detection and Classification with Deep Learning Based CNN Method

Brain tumor occurs when cells formed as a result of self-renewal of cells in the human body grow more than normal and become a mass. Brain tumor constitutes one of the factors that endanger human life. By early diagnosis with the right methods and techniques, lives can be saved by preventing brain tumors that endanger human life. In today's technology, Magnetic Resonance imaging (MRI) is used to detect brain tumors. Early diagnosis plays an important role in brain tumor. In this study, Convolution neural network (CNN) is used for brain tumor detection and classification with deep learning, a sub-branch of machine learning. When the CNN model was compared with other deep learning models for brain tumor prediction, it was found that the CNN model had a higher accuracy rate than other models, with 98.24%.