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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.
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Mirzaei et al. (Fri,) studied this question.
synapsesocial.com/papers/6a1dfe66cd67cee373351bb7 — DOI: https://doi.org/10.1515/revneuro-2018-0050
Golrokh Mirzaei
The Ohio State University
Hojjat Adeli
University of North Carolina at Charlotte
Reviews in the Neurosciences
The Ohio State University
The Ohio State University at Marion
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