T. Kalaiselvi* and S. Karthigai Selvi Pages 489 - 505 ( 17 )
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.
Brain tumor, magnetic resonance image, classification, segmentation, treatment, processing techniques.
Department of Computer Science and Applications, The Gandhigram Rural Institute, Deemed University, Gandhigram, Department of Computer Science and Applications, The Gandhigram Rural Institute, Deemed University, Gandhigram