Abstract

Background: This paper reviews the recent techniques employed to process brain tumor images from Magnetic Resonance (MR) images. Automation in tumor and its sub-compartment segmentation from MR images is rising and necessary in rapid diagnosis and planning of human brain treatment.

Discussion: The success of fine tumor segmentation depends on an entire pipeline of the processes such as preprocessing, segmentation, feature extraction and classification tools.

Conclusion: Hence, the review aims to present a collective overview of existing techniques and explore the metrics which are used for various performance analysis for image processing techniques.

Keywords: Brain tumor, magnetic resonance image, classification, segmentation, treatment, processing techniques.