Brain Tumor Detection with Transfer Learning
In the context of brain tumor diagnosis, transfer learning can be used to improve the performance of the model by using what it learns from a large database of MRI scans of the brain.
Abstract
- Brain tumors are one of the leading causes of death and disability worldwide. Early detection and treatment of brain tumors is important to improve patient outcomes. However, brain tumors are often difficult to diagnose and diagnose, especially in the early stages. Transfer learning is a machine learning technique that can be used to improve the performance of new tasks using patterns learned in related tasks. In the context of brain tumor diagnosis, transfer learning can be used to improve the performance of the model by using what it learns from a large database of MRI scans of the brain.