Hearing loss detection in medical multimedia data by discrete wavelet packet entropy and single-hidden layer neural network trained by adaptive learning-rate back propagation

Shuihua Wang; Sidan Du; Yang Li; Huimin Lu; Ming Yang; Bin Liu; Yudong Zhang

doi:10.1007/978-3-319-59081-3_63

Hearing loss detection in medical multimedia data by discrete wavelet packet entropy and single-hidden layer neural network trained by adaptive learning-rate back propagation

Shuihua Wang, Sidan Du, Yang Li, Huimin Lu, Ming Yang, Bin Liu, Yudong Zhang^*

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

7 Citations (Scopus)

Abstract

In order to develop an efficient computer-aided diagnosis system for detecting left-sided and right-sided sensorineural hearing loss, we used artificial intelligence in this study. First, 49 subjects were enrolled by magnetic resonance imaging scans. Second, the discrete wavelet packet entropy (DWPE) was utilized to extract global texture features from brain images. Third, single-hidden layer neural network (SLNN) was used as the classifier with training algorithm of adaptive learning-rate back propagation (ALBP). The 10 times of 5-fold cross validation demonstrated our proposed method yielded an overall accuracy of 95.31%, higher than standard back propagation method with accuracy of 87.14%. Besides, our method also outperforms the “FRFT + PCA (Yang, 2016)”, “WE + DT (Kale, 2013)”, and “WE + MRF (Vasta 2016)”. In closing, our method is efficient.

Original language	English
Title of host publication	Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Proceedings
Editors	Fengyu Cong, Qinglai Wei, Andrew Leung
Publisher	Springer Verlag
Pages	541-549
Number of pages	9
ISBN (Print)	9783319590806
DOIs	https://doi.org/10.1007/978-3-319-59081-3_63
Publication status	Published - 2017
Externally published	Yes
Event	14th International Symposium on Neural Networks, ISNN 2017 - Sapporo, Hakodate, and Muroran, Hokkaido, Japan Duration: 21 Jun 2017 → 26 Jun 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10262 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Symposium on Neural Networks, ISNN 2017
Country/Territory	Japan
City	Sapporo, Hakodate, and Muroran, Hokkaido
Period	21/06/17 → 26/06/17

Keywords

Discrete wavelet packet entropy
Hearing loss
Multimedia data
Single-hidden layer neural network

Access to Document

10.1007/978-3-319-59081-3_63

Cite this

Wang, S., Du, S., Li, Y., Lu, H., Yang, M., Liu, B., & Zhang, Y. (2017). Hearing loss detection in medical multimedia data by discrete wavelet packet entropy and single-hidden layer neural network trained by adaptive learning-rate back propagation. In F. Cong, Q. Wei, & A. Leung (Eds.), Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Proceedings (pp. 541-549). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10262 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-59081-3_63

Wang, Shuihua ; Du, Sidan ; Li, Yang et al. / Hearing loss detection in medical multimedia data by discrete wavelet packet entropy and single-hidden layer neural network trained by adaptive learning-rate back propagation. Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Proceedings. editor / Fengyu Cong ; Qinglai Wei ; Andrew Leung. Springer Verlag, 2017. pp. 541-549 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{e9e782d432fb4c23a9ac494b47f753b8,

title = "Hearing loss detection in medical multimedia data by discrete wavelet packet entropy and single-hidden layer neural network trained by adaptive learning-rate back propagation",

abstract = "In order to develop an efficient computer-aided diagnosis system for detecting left-sided and right-sided sensorineural hearing loss, we used artificial intelligence in this study. First, 49 subjects were enrolled by magnetic resonance imaging scans. Second, the discrete wavelet packet entropy (DWPE) was utilized to extract global texture features from brain images. Third, single-hidden layer neural network (SLNN) was used as the classifier with training algorithm of adaptive learning-rate back propagation (ALBP). The 10 times of 5-fold cross validation demonstrated our proposed method yielded an overall accuracy of 95.31%, higher than standard back propagation method with accuracy of 87.14%. Besides, our method also outperforms the “FRFT + PCA (Yang, 2016)”, “WE + DT (Kale, 2013)”, and “WE + MRF (Vasta 2016)”. In closing, our method is efficient.",

keywords = "Discrete wavelet packet entropy, Hearing loss, Multimedia data, Single-hidden layer neural network",

author = "Shuihua Wang and Sidan Du and Yang Li and Huimin Lu and Ming Yang and Bin Liu and Yudong Zhang",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 14th International Symposium on Neural Networks, ISNN 2017 ; Conference date: 21-06-2017 Through 26-06-2017",

year = "2017",

doi = "10.1007/978-3-319-59081-3_63",

language = "English",

isbn = "9783319590806",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "541--549",

editor = "Fengyu Cong and Qinglai Wei and Andrew Leung",

booktitle = "Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Proceedings",

}

Wang, S, Du, S, Li, Y, Lu, H, Yang, M, Liu, B & Zhang, Y 2017, Hearing loss detection in medical multimedia data by discrete wavelet packet entropy and single-hidden layer neural network trained by adaptive learning-rate back propagation. in F Cong, Q Wei & A Leung (eds), Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10262 LNCS, Springer Verlag, pp. 541-549, 14th International Symposium on Neural Networks, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, 21/06/17. https://doi.org/10.1007/978-3-319-59081-3_63

Hearing loss detection in medical multimedia data by discrete wavelet packet entropy and single-hidden layer neural network trained by adaptive learning-rate back propagation. / Wang, Shuihua; Du, Sidan; Li, Yang et al.
Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Proceedings. ed. / Fengyu Cong; Qinglai Wei; Andrew Leung. Springer Verlag, 2017. p. 541-549 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10262 LNCS).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Hearing loss detection in medical multimedia data by discrete wavelet packet entropy and single-hidden layer neural network trained by adaptive learning-rate back propagation

AU - Wang, Shuihua

AU - Du, Sidan

AU - Li, Yang

AU - Lu, Huimin

AU - Yang, Ming

AU - Liu, Bin

AU - Zhang, Yudong

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - In order to develop an efficient computer-aided diagnosis system for detecting left-sided and right-sided sensorineural hearing loss, we used artificial intelligence in this study. First, 49 subjects were enrolled by magnetic resonance imaging scans. Second, the discrete wavelet packet entropy (DWPE) was utilized to extract global texture features from brain images. Third, single-hidden layer neural network (SLNN) was used as the classifier with training algorithm of adaptive learning-rate back propagation (ALBP). The 10 times of 5-fold cross validation demonstrated our proposed method yielded an overall accuracy of 95.31%, higher than standard back propagation method with accuracy of 87.14%. Besides, our method also outperforms the “FRFT + PCA (Yang, 2016)”, “WE + DT (Kale, 2013)”, and “WE + MRF (Vasta 2016)”. In closing, our method is efficient.

AB - In order to develop an efficient computer-aided diagnosis system for detecting left-sided and right-sided sensorineural hearing loss, we used artificial intelligence in this study. First, 49 subjects were enrolled by magnetic resonance imaging scans. Second, the discrete wavelet packet entropy (DWPE) was utilized to extract global texture features from brain images. Third, single-hidden layer neural network (SLNN) was used as the classifier with training algorithm of adaptive learning-rate back propagation (ALBP). The 10 times of 5-fold cross validation demonstrated our proposed method yielded an overall accuracy of 95.31%, higher than standard back propagation method with accuracy of 87.14%. Besides, our method also outperforms the “FRFT + PCA (Yang, 2016)”, “WE + DT (Kale, 2013)”, and “WE + MRF (Vasta 2016)”. In closing, our method is efficient.

KW - Discrete wavelet packet entropy

KW - Hearing loss

KW - Multimedia data

KW - Single-hidden layer neural network

UR - http://www.scopus.com/inward/record.url?scp=85021736412&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-59081-3_63

DO - 10.1007/978-3-319-59081-3_63

M3 - Conference Proceeding

AN - SCOPUS:85021736412

SN - 9783319590806

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 541

EP - 549

BT - Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Proceedings

A2 - Cong, Fengyu

A2 - Wei, Qinglai

A2 - Leung, Andrew

PB - Springer Verlag

T2 - 14th International Symposium on Neural Networks, ISNN 2017

Y2 - 21 June 2017 through 26 June 2017

ER -

Wang S, Du S, Li Y, Lu H, Yang M, Liu B et al. Hearing loss detection in medical multimedia data by discrete wavelet packet entropy and single-hidden layer neural network trained by adaptive learning-rate back propagation. In Cong F, Wei Q, Leung A, editors, Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Proceedings. Springer Verlag. 2017. p. 541-549. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-59081-3_63

Hearing loss detection in medical multimedia data by discrete wavelet packet entropy and single-hidden layer neural network trained by adaptive learning-rate back propagation

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this