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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Vydané v:	IEEE access Ročník 8; s. 98548 - 98561
Hlavní autori:	Xu, Hong, Ye, Caizeng, Zhang, Fan, Li, Xuemei, Zhang, Caiming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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