No abstract

Brain tumors are one of the most dangerous diseases that continue to be threatened worldwide.As a result, the diagnosis and treatment in the early stages are very important in this case. As a result, the diagnosis and treatment in the early stages are very important in this case. Furthermore, the determination of the correct nature of the tumor is a sensitive process in patient treatment .In recent years, with the advancement of deep learning solutions in computer vision, such as image segmentation, image classification, and object detection, promising results have been achieved in the accuracy of medical diagnosis.In this paper, we propose the most famous deep learning model and architecture used to predict the existence of brain tumors from an MR image dataset.