A Systematic Mapping Study of Low-Grade Tumor of Brain Cancer and CSF Fluid Detecting in MRI Images Through Multi-Algorithm Techniques

Abstract

Low-grade tumor or CSF fluid, the symptoms of brain tumour and CSF liquid, usually requires image segmentation to evaluate tumour detection in brain images. This research uses systematic literature review (SLR) process for analysis of the different segmentation approach for detecting the low-grade tumor and CSF fluid presence in the brain. This research work investigated how to evaluate and detect the tumor and CSF fluid, supervised machine learning algorithm and segmentation method (3D and 4D segmentation process, supervised segmentation process, Fourier transformation, and Laplace transformation), and mentioned the details of publication selection with the publishing digital libraries bodies. Furthermore, this research discusses selected segmentation techniques to detect the low-grade tumor and CSF fluid in systematic mapping through systematic literature review (SLR) process.