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Reviews in the Neurosciences

Editor-in-Chief: Huston, Joseph P.

Editorial Board: Topic, Bianca / Adeli, Hojjat / Buzsaki, Gyorgy / Crawley, Jacqueline / Crow, Tim / Gold, Paul / Holsboer, Florian / Korth, Carsten / Li, Jay-Shake / Lubec, Gert / McEwen, Bruce / Pan, Weihong / Pletnikov, Mikhail / Robbins, Trevor / Schnitzler, Alfons / Stevens, Charles / Steward, Oswald / Trojanowski, John

IMPACT FACTOR 2017: 2.590
5-year IMPACT FACTOR: 3.078

CiteScore 2017: 2.81

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Source Normalized Impact per Paper (SNIP) 2017: 0.804

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Volume 30, Issue 1


Segmentation and clustering in brain MRI imaging

Golrokh Mirzaei
  • Department of Computer Science and Engineering, The Ohio State University, Marion, OH 43302, USA
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Hojjat Adeli
  • Corresponding author
  • Departments of Biomedical Informatics, Neurology, Neuroscience, The Ohio State University, Columbus, OH 43210, USA
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2018-09-27 | DOI: https://doi.org/10.1515/revneuro-2018-0050


Clustering is a vital task in magnetic resonance imaging (MRI) brain imaging and plays an important role in the reliability of brain disease detection, diagnosis, and effectiveness of the treatment. Clustering is used in processing and analysis of brain images for different tasks, including segmentation of brain regions and tissues (grey matter, white matter, and cerebrospinal fluid) and clustering of the atrophy in different parts of the brain. This paper presents a state-of-the-art review of brain MRI studies that use clustering techniques for different tasks.

Keywords: clustering; convolutional neural network; FCM; K-means; segmentation


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About the article

Received: 2018-05-22

Accepted: 2018-07-19

Published Online: 2018-09-27

Published in Print: 2018-12-19

Citation Information: Reviews in the Neurosciences, Volume 30, Issue 1, Pages 31–44, ISSN (Online) 2191-0200, ISSN (Print) 0334-1763, DOI: https://doi.org/10.1515/revneuro-2018-0050.

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