What is Rectified Linear Unit (ReLU)

Brain tumor diagnosis has been revolutionized with the advent of deep learning technique: CNN. The chapter explores the application of CNN in the medical diagnosis of brain tumor using MRI and CT scan images. Initially, the simplified explanation of CNN with basic architecture is shown. Later, the operational mechanism of CNN is explained which is which serves in brain tumor detection with high accuracy and precision. It mimics human perception and analyzes intricate details within images that signify the presence of an ailment. In the later part, the concept of brain tumors is discussed along with the importance of early detection of brain tumors is also highlighted outlining the impact on individuals. In the subsequent part, the training process of CNN to detect brain tumors is discussed to equip readers with the requisite knowledge and skills to train the model. Demonstrating the relationship between CNN and medical imaging techniques, this chapter aims to reduce the complexity in the process of brain tumor detection, highlighting the transformative potential of CNN in healthcare services.