| Literature DB >> 30265656 |
Golrokh Mirzaei1, Hojjat Adeli2.
Abstract
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.Entities:
Keywords: FCM; K-means; clustering; convolutional neural network; segmentation
Mesh:
Year: 2018 PMID: 30265656 DOI: 10.1515/revneuro-2018-0050
Source DB: PubMed Journal: Rev Neurosci ISSN: 0334-1763 Impact factor: 4.353