A Medical Image Segmentation Method With Anti-Noise and Bias-Field Correction

Brain magnetic resonance images (MRI) are affected by noise and bias field, which make the traditional FCM algorithm unable to segment tissue regions of MR images accurately. Based on the above problems, this paper proposes an MR image segmentation method (MPCFCM) with anti-noise and bias field corr...

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Veröffentlicht in:	IEEE access Jg. 8; S. 98548 - 98561
Hauptverfasser:	Xu, Hong, Ye, Caizeng, Zhang, Fan, Li, Xuemei, Zhang, Caiming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algebra algebraic distance Algorithms anti-noise smoothing factor Bias Bias field correction Biomedical imaging Brain modeling Clustering Clustering algorithms fitting plane Image segmentation Linear programming Magnetic resonance imaging Medical imaging Noise Singular value decomposition Smoothing methods
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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