Brain tumor segmentation using hierarchical combination of fuzzy logic and cellular automata

Brain tumor segmentation using hierarchical combination of fuzzy logic and cellular automata

Background: Magnetic resonance (MR) image is one of the most important diagnostic tools for brain tumor detection. Segmentation of glioma tumor region in brain MR images is challenging in medical image processing problems. Precise and reliable segmentation algorithms can be significantly helpful in...

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Bibliographic Details
Main Authors: Roqaie Kalantari, Roqaie Moqadam, Nazila Loghmani, Armin Allahverdy, Mohammad Bagher Shiran, Arash Zare-Sadeghi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2022-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
cellular automata
fuzzy
glioma
segmentation
Online Access:http://www.jmssjournal.net/article.asp?issn=2228-7477;year=2022;volume=12;issue=3;spage=263;epage=268;aulast=Kalantari

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http://www.jmssjournal.net/article.asp?issn=2228-7477;year=2022;volume=12;issue=3;spage=263;epage=268;aulast=Kalantari

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