Brain Tumour Detection and Classification using Deep Learning And Transfer Learning Techniques

Identifying a brain tumor in its early stages is crucial, as the condition can become severe and incurable once it progresses. A precise diagnosis of a brain tumor is pivotal in initiating proper treatment, ultimately improving the patient's chances of survival. The examination specifically focuses on techniques rooted in deep learning and transfer learning, such as CNN, ResNet, U Net, and capsule networks. ResNet, an innovative deep learning architecture, has been recently developed to address the limitations of CNNs. Capsule networks are not affected by rotations and translations. Moreover, it explores essential matters and lingering challenges, bringing attention to constraints while proposing intriguing directions for future research. We expect this overview to act as a valuable launchpad for additional inquiries in this domain.