Segmentation and Detection of Glioma Using Deep Learning

Abstract

The process of segmentation and detection of glioma plays a crucial role in medical image segmentation. With this paper, we demonstrate the capacity of deep learning algorithm-based U-Net model to handle varied spectrum of data and a comprehensive analysis of the performance of this deep learning approach with real-world data like BraTS 2018 dataset under consideration.