Effect of spider-web-plot in MR brain image classification

Yudong Zhang; Zhengchao Dong; Genlin Ji; Shuihua Wang

doi:10.1016/j.patrec.2015.04.016

Effect of spider-web-plot in MR brain image classification

Yudong Zhang^*, Zhengchao Dong, Genlin Ji, Shuihua Wang

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

41 Citations (Scopus)

Abstract

Abstract This letter researched on the effect of spider-web-plot, which was proposed in the literature "M. Saritha, K.P. Joseph, A.T. Mathew, Classification of MRI brain images using combined wavelet entropy based spider web plots and probabilistic neural network, Pattern Recognit. Lett. 34 (2013) 2151-2156". We found it was unnecessary to use spider-web-plot as feature transform method. In addition, our simulation results showed that removing the procedure of spider-web-plot yielded the same classification accuracy of 100%.

Original language	English
Article number	6215
Pages (from-to)	14-16
Number of pages	3
Journal	Pattern Recognition Letters
Volume	62
DOIs	https://doi.org/10.1016/j.patrec.2015.04.016
Publication status	Published - 1 Aug 2015
Externally published	Yes

Keywords

Classification
Machine learning
Magnetic resonance imaging
Spider-web-plot

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10.1016/j.patrec.2015.04.016

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Zhang, Y., Dong, Z., Ji, G., & Wang, S. (2015). Effect of spider-web-plot in MR brain image classification. Pattern Recognition Letters, 62, 14-16. Article 6215. https://doi.org/10.1016/j.patrec.2015.04.016

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abstract = "Abstract This letter researched on the effect of spider-web-plot, which was proposed in the literature {"}M. Saritha, K.P. Joseph, A.T. Mathew, Classification of MRI brain images using combined wavelet entropy based spider web plots and probabilistic neural network, Pattern Recognit. Lett. 34 (2013) 2151-2156{"}. We found it was unnecessary to use spider-web-plot as feature transform method. In addition, our simulation results showed that removing the procedure of spider-web-plot yielded the same classification accuracy of 100%.",

keywords = "Classification, Machine learning, Magnetic resonance imaging, Spider-web-plot",

author = "Yudong Zhang and Zhengchao Dong and Genlin Ji and Shuihua Wang",

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year = "2015",

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doi = "10.1016/j.patrec.2015.04.016",

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AU - Zhang, Yudong

AU - Dong, Zhengchao

AU - Ji, Genlin

AU - Wang, Shuihua

PY - 2015/8/1

Y1 - 2015/8/1

N2 - Abstract This letter researched on the effect of spider-web-plot, which was proposed in the literature "M. Saritha, K.P. Joseph, A.T. Mathew, Classification of MRI brain images using combined wavelet entropy based spider web plots and probabilistic neural network, Pattern Recognit. Lett. 34 (2013) 2151-2156". We found it was unnecessary to use spider-web-plot as feature transform method. In addition, our simulation results showed that removing the procedure of spider-web-plot yielded the same classification accuracy of 100%.

AB - Abstract This letter researched on the effect of spider-web-plot, which was proposed in the literature "M. Saritha, K.P. Joseph, A.T. Mathew, Classification of MRI brain images using combined wavelet entropy based spider web plots and probabilistic neural network, Pattern Recognit. Lett. 34 (2013) 2151-2156". We found it was unnecessary to use spider-web-plot as feature transform method. In addition, our simulation results showed that removing the procedure of spider-web-plot yielded the same classification accuracy of 100%.

KW - Classification

KW - Machine learning

KW - Magnetic resonance imaging

KW - Spider-web-plot

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VL - 62

SP - 14

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JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

M1 - 6215

ER -

Effect of spider-web-plot in MR brain image classification

Abstract

Keywords

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