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
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.