Survey on the Segmentation of Brain Tumors Using Deep Learning Techniques

Abstract

This survey thoroughly examines the progress in brain tumor segmentation, which has been greatly advanced by deep learning technologies. It delves into different datasets, standard segmentation methods, and the revolutionary effect of deep learning approaches. By meticulously analyzing existing literature, this survey highlights the shift from traditional practices to cutting-edge deep learning models, discussing their methods, performance metrics, and potential use in medical settings. The purpose of this survey is to provide valuable insights into the difficulties, accomplishments, and future paths in the realm of brain tumor segmentation. It serves as an essential resource for researchers and practitioners who wish to explore this field.