Pathological brain detection viawavelet packet tsallis entropy and real-coded biogeography-based optimization

Shuihua Wang; Peng Li; Peng Chen; Preetha Phillips; Ge Liu; Sidan Du; Yudong Zhangy

doi:10.3233/FI-2017-1492

Pathological brain detection viawavelet packet tsallis entropy and real-coded biogeography-based optimization

Shuihua Wang, Peng Li, Peng Chen, Preetha Phillips, Ge Liu, Sidan Du, Yudong Zhangy^*

^*Corresponding author for this work

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

54 Citations (Scopus)

Abstract

(Aim) In order to detect pathological brains in a more efficient way, (Method) we proposed a novel system of pathological brain detection (PBD) that combined wavelet packet Tsallis entropy (WPTE), feedforward neural network (FNN), and real-coded biogeography-based optimization (RCBBO). (Results) The experiments showed the proposed WPTE + FNN + RCBBO approach yielded an average accuracy of 99.49% over a 255-image dataset. (Conclusions) The WPTE + FNN + RCBBO performed better than 10 state-of-the-art approaches.

Original language	English
Pages (from-to)	275-291
Number of pages	17
Journal	Fundamenta Informaticae
Volume	151
Issue number	1-4
DOIs	https://doi.org/10.3233/FI-2017-1492
Publication status	Published - 2017
Externally published	Yes

Keywords

Feed-forward neural network
Pathological brain detection
Real-coded biogeography-based optimization
Wavelet packet Tsallis entropy

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10.3233/FI-2017-1492

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title = "Pathological brain detection viawavelet packet tsallis entropy and real-coded biogeography-based optimization",

abstract = "(Aim) In order to detect pathological brains in a more efficient way, (Method) we proposed a novel system of pathological brain detection (PBD) that combined wavelet packet Tsallis entropy (WPTE), feedforward neural network (FNN), and real-coded biogeography-based optimization (RCBBO). (Results) The experiments showed the proposed WPTE + FNN + RCBBO approach yielded an average accuracy of 99.49% over a 255-image dataset. (Conclusions) The WPTE + FNN + RCBBO performed better than 10 state-of-the-art approaches.",

keywords = "Feed-forward neural network, Pathological brain detection, Real-coded biogeography-based optimization, Wavelet packet Tsallis entropy",

author = "Shuihua Wang and Peng Li and Peng Chen and Preetha Phillips and Ge Liu and Sidan Du and Yudong Zhangy",

year = "2017",

doi = "10.3233/FI-2017-1492",

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journal = "Fundamenta Informaticae",

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T1 - Pathological brain detection viawavelet packet tsallis entropy and real-coded biogeography-based optimization

AU - Wang, Shuihua

AU - Li, Peng

AU - Chen, Peng

AU - Phillips, Preetha

AU - Liu, Ge

AU - Du, Sidan

AU - Zhangy, Yudong

PY - 2017

Y1 - 2017

N2 - (Aim) In order to detect pathological brains in a more efficient way, (Method) we proposed a novel system of pathological brain detection (PBD) that combined wavelet packet Tsallis entropy (WPTE), feedforward neural network (FNN), and real-coded biogeography-based optimization (RCBBO). (Results) The experiments showed the proposed WPTE + FNN + RCBBO approach yielded an average accuracy of 99.49% over a 255-image dataset. (Conclusions) The WPTE + FNN + RCBBO performed better than 10 state-of-the-art approaches.

AB - (Aim) In order to detect pathological brains in a more efficient way, (Method) we proposed a novel system of pathological brain detection (PBD) that combined wavelet packet Tsallis entropy (WPTE), feedforward neural network (FNN), and real-coded biogeography-based optimization (RCBBO). (Results) The experiments showed the proposed WPTE + FNN + RCBBO approach yielded an average accuracy of 99.49% over a 255-image dataset. (Conclusions) The WPTE + FNN + RCBBO performed better than 10 state-of-the-art approaches.

KW - Feed-forward neural network

KW - Pathological brain detection

KW - Real-coded biogeography-based optimization

KW - Wavelet packet Tsallis entropy

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DO - 10.3233/FI-2017-1492

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VL - 151

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JO - Fundamenta Informaticae

JF - Fundamenta Informaticae

IS - 1-4

ER -

Pathological brain detection viawavelet packet tsallis entropy and real-coded biogeography-based optimization

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Keywords

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