A Hybrid Fuzzy Clustering Approach for the Recognition and Visualization of MRI Images of Parkinson's Disease

Parkinson's disease (PD) is one of the serious diseases in the neurodegenerative disease group, whose early stage pre-diagnosis is still very tedious. Radiologists and medical practitioners mostly depended on the analysis of PD patients' magnetic resonance images (MRIs) to identify this di...

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Bibliographic Details
Published in:	IEEE access Vol. 8; pp. 25041 - 25051
Main Authors:	Huang, Yo-Ping, Singh, Pritpal, Kuo, Hung-Chou
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptive algorithms Algorithms Cluster analysis Clustering Clustering algorithms Diseases Fuzzy information gain Image segmentation K-means clustering magnetic resonance images (MRIs) Magnetic resonance imaging Medical imaging Object recognition Parkinson's disease Parkinson’s disease (PD) Pattern recognition Pixels Signal to noise ratio Uncertainty Vector quantization Visualization
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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