Classification of Brain Tumour Disease with Transfer Learning Using Modified Pre-trained Deep Convolutional Neural Network

A brain tumour may be a fully overwhelming cancer condition due to the unregulated and peculiar cell division. The division of brain cells is what causes it or contributes to its occurrence. A significant advancement in medical technology has been made in recent years as a result of artificial intelligence and transfer learning, such as the method of processing medical images that enables quick and simple disease diagnosis by medical professionals where, in the past, it was laborious and time-consuming. On the overall, this device learning set of rules uses convolutional neural networks. This paper employed image processing, records augmentation, and the Convolutional Neural Network method to determine if the brain images were malignant and, if so, what type of tumour they were, including gliomas, meningiomas, and pituitary tumours.