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Review | Open Access

Brain Tumor Detection from Medical Images: A Survey

Muhammad Aqeel AslamDaxiang Cui( )
Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instrument, Shanghai Jiao Tong University, Shanghai 200240, China
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Abstract

Nowadays, medical image processing has been one of the most challenging emerging field. Magnetic resonance imaging (MRI) technique is now widely used to detect brain tumor. This survey provides different strategies to detect and extract the brain tumor signal. The strategy for detecting and extracting the brain tumor signals is based on the MRI scanned images of the cerebrum. These methods incorporate some noise removal functions, segmentations and morphological operations which are the fundamental concepts of image processing. Detection and extraction of tumor signal from MRI scanned images of the cerebrum are carried out by MATLAB.

Nano Biomedicine and Engineering
Pages 72-81
Cite this article:
Aqeel Aslam M, Cui D. Brain Tumor Detection from Medical Images: A Survey. Nano Biomedicine and Engineering, 2017, 9(1): 72-81. https://doi.org/10.5101/nbe.v9i1.p72-81

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Received: 25 March 2017
Accepted: 30 March 2017
Published: 30 March 2017
© 2017 Muhammad Aqeel Aslam, Daxiang Cui.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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