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Automatic Segmentation of Medical Images Using Fuzzy c-Means and the Genetic Algorithm
Joint Authors
Jamshidi, Omid
Pilevar, Abdol Hamid
Source
Journal of Computational Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-03
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Magnetic resonance imaging (MRI) segmentation is a complex issue.
This paper proposes a new method for estimating the right number of segments and automatic segmentation of human normal and abnormal MR brain images.
The purpose of automatic diagnosis of the segments is to find the number of divided image areas of an image according to its entropy and with correctly diagnose of the segment of an image also increased the precision of segmentation.
Regarding the fact that guessing the number of image segments and the center of segments automatically requires algorithm test many states in order to solve this problem and to have a high accuracy, we used a combination of the genetic algorithm and the fuzzy c-means (FCM) method.
In this method, it has been tried to change the FCM method as a fitness function for combination of it in genetic algorithm to do the image segmentation more accurately.
Our experiment shows that the proposed method has a significant improvement in the accuracy of image segmentation in comparison to similar methods.
American Psychological Association (APA)
Jamshidi, Omid& Pilevar, Abdol Hamid. 2013. Automatic Segmentation of Medical Images Using Fuzzy c-Means and the Genetic Algorithm. Journal of Computational Medicine،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-512616
Modern Language Association (MLA)
Jamshidi, Omid& Pilevar, Abdol Hamid. Automatic Segmentation of Medical Images Using Fuzzy c-Means and the Genetic Algorithm. Journal of Computational Medicine No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-512616
American Medical Association (AMA)
Jamshidi, Omid& Pilevar, Abdol Hamid. Automatic Segmentation of Medical Images Using Fuzzy c-Means and the Genetic Algorithm. Journal of Computational Medicine. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-512616
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-512616