Employing Deep Learning And Transfer Learning For Accurate Brain Tumor Detection

This article discusses the potential of deep transfer learning architectures to improve the accuracy of brain tumor diagnosis using machine vision. Four distinct architectures were assessed and MobileNetv3 achieved the highest accuracy of 99.75%. This has the potential to revolutionize the field of brain tumor diagnosis.