Deep Leaming Approaches for Brain Tumor Segmentation: A Review

Abstract

Brain tumor has been a cause of concern for the medical fraternity. The manual segmentation of brain tumor by medical expert is a time-consuming process and this needs to be automated. The Computer-aided diagnosis (CAD) system, help to improve the diagnosis and reduces the overall time required to identify the tumor. Researchers have proposed methods that can diagnose brain tumor based on machine learning and deep learning techniques. But the methods based on deep learning have proven much better than the traditional machine learning methods. In this paper we have discussed the state-of-the-art methods for brain tumor segmentation based on deep learning.