Comprehensive Survey on Computational Techniques for Brain Tumor Detection: Past, Present and Future

Abstract

Radiology also termed as the medical imaging is the medical specialty that involves the creation of images of the body parts for the purpose of diagnostics or treatment. The procedures involved therefore helps the medical professionals in diagnosing the diseases and injuries. The medical image analysis of the brain is considered as the major area of interest because of its complexity and significance and the automation of the same can be done using various tools and techniques. There are variety of image processing techniques used for the brain image analysis, to name a few are the Deep Learning, Machine Learning, hybrid models etc. There are variety of reasons such as the shape, dimension, textures and other related features due to which the analysis of the brain tumors tends to become complicated. Henceforth, this review will give a comprehensive review of the brain tumor image analysis, with the inclusion of the topics such as the fundamentals of brain tumors, brain imaging, actions involved in brain image analysis, models utilized, characteristics of brain tumor images, metrics for model evaluation and datasets of brain tumor and medical images that are available.