MRI-Based Brain Tumor Detection and Diagnosis

Brain tumor detection through the assistance of Magnetic Resonance Imaging (MRI) plays an important role in the diagnosis and treatment of the multi-systemic disorder. It is one of the medical image analysis techniques that detect and locate a tumor in one of the most important and sensitive organs: the human brain. This paper proposes an approach to develop an efficient and more accurate deep learning and machine learning based approach to detect and locate a tumor through images captured by an MRI. By using a Convolutional Neural Network (CNN), one of the intelligent deep learning approaches, features of an image and areas of tumors within an image will be automatically extracted. and Support Vecctor Machine(SVM), Is used to detect the tumor.Accuracy, precision, recall, and F1-score methods were used to evaluate this approach. Similarly, a graphical interface was added to see images.