Brain MRI Classification Using Transfer Learning Techniques

Brain tumors must be grouped to be diagnosed and treated correctly. Deep learning methods have recently showed potential in the classification of brain cancers using diagnostic pictures like magnetic resonance imaging (MRI) scans. This work demonstrates the obstacles and future objectives for classifying brain cancers using deep learning. It talks about what has been done recently in this area. This research study discusses how convolutional neural networks (CNNs) and some variations, such as transfer learning and ensemble models, can be used to classify brain tumors. Also, this study compares how well different CNN architectures work on different kinds of brain cancer, like meningiomas, gliomas, and pituitary tumors. Lastly, discusses about what is wrong with and hard about the current deep learning-based approaches and suggest new ways to look into them.