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2000
Volume 14, Issue 4
  • ISSN: 1573-4056
  • E-ISSN: 1875-6603

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.

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/content/journals/cmir/10.2174/1573405613666170614082314
2018-08-01
2025-07-04
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