Stochastic resonance: An approach for enhanced medical image processing

Renbin Peng; Hao Chen; Prarnod K. Varshney; James H. Michels

doi:10.1109/LSSA.2007.4400932

Stochastic resonance: An approach for enhanced medical image processing

Renbin Peng, Hao Chen, Prarnod K. Varshney, James H. Michels

Electrical Engineering Department

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

24 Scopus citations

Abstract

This paper presents a novel application of the stochastic resonance effect in medical image processing. Aiming to improve system performance, two noise modified image processing schemes are proposed. Performances of several medical image processing systems are shown to improve when suitable stochastic resonance noise is added.

Original language	English
Title of host publication	2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA
Publisher	IEEE Computer Society
Pages	253-256
Number of pages	4
ISBN (Print)	9781424418138
DOIs	https://doi.org/10.1109/LSSA.2007.4400932
State	Published - 2007
Event	2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA - Bethesda, MD, United States Duration: 8 Nov 2007 → 9 Nov 2007

Publication series

Name	2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA

Conference

Conference	2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA
Country/Territory	United States
City	Bethesda, MD
Period	8/11/07 → 9/11/07

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10.1109/LSSA.2007.4400932

Cite this

Peng, R., Chen, H., Varshney, P. K., & Michels, J. H. (2007). Stochastic resonance: An approach for enhanced medical image processing. In 2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA (pp. 253-256). Article 4400932 (2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA). IEEE Computer Society. https://doi.org/10.1109/LSSA.2007.4400932

@inproceedings{6d75abd800884e8cbb8bff5739711381,

title = "Stochastic resonance: An approach for enhanced medical image processing",

abstract = "This paper presents a novel application of the stochastic resonance effect in medical image processing. Aiming to improve system performance, two noise modified image processing schemes are proposed. Performances of several medical image processing systems are shown to improve when suitable stochastic resonance noise is added.",

author = "Renbin Peng and Hao Chen and Varshney, {Prarnod K.} and Michels, {James H.}",

year = "2007",

doi = "10.1109/LSSA.2007.4400932",

language = "English",

isbn = "9781424418138",

series = "2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA",

publisher = "IEEE Computer Society",

pages = "253--256",

booktitle = "2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA",

note = "2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA ; Conference date: 08-11-2007 Through 09-11-2007",

}

Peng, R, Chen, H, Varshney, PK & Michels, JH 2007, Stochastic resonance: An approach for enhanced medical image processing. in 2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA., 4400932, 2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA, IEEE Computer Society, pp. 253-256, 2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA, Bethesda, MD, United States, 8/11/07. https://doi.org/10.1109/LSSA.2007.4400932

Stochastic resonance: An approach for enhanced medical image processing. / Peng, Renbin; Chen, Hao; Varshney, Prarnod K. et al.
2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA. IEEE Computer Society, 2007. p. 253-256 4400932 (2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA).

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

TY - GEN

T1 - Stochastic resonance

T2 - 2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA

AU - Peng, Renbin

AU - Chen, Hao

AU - Varshney, Prarnod K.

AU - Michels, James H.

PY - 2007

Y1 - 2007

N2 - This paper presents a novel application of the stochastic resonance effect in medical image processing. Aiming to improve system performance, two noise modified image processing schemes are proposed. Performances of several medical image processing systems are shown to improve when suitable stochastic resonance noise is added.

AB - This paper presents a novel application of the stochastic resonance effect in medical image processing. Aiming to improve system performance, two noise modified image processing schemes are proposed. Performances of several medical image processing systems are shown to improve when suitable stochastic resonance noise is added.

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U2 - 10.1109/LSSA.2007.4400932

DO - 10.1109/LSSA.2007.4400932

M3 - Conference contribution

AN - SCOPUS:50849089286

SN - 9781424418138

T3 - 2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA

SP - 253

EP - 256

BT - 2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA

PB - IEEE Computer Society

Y2 - 8 November 2007 through 9 November 2007

ER -

Stochastic resonance: An approach for enhanced medical image processing

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