Discriminant system for severity of prostate tumor

T. Tanaka; A. Suzuki

doi:10.1007/978-3-642-03882-2-192

Discriminant system for severity of prostate tumor

T. Tanaka, A. Suzuki

Department of Applied Physics and Physico-Informatics

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

Abstract

In this study, we make a system which automatically discriminates the severity of prostate tumor. This system includes the automatic gland extraction and the support vector machine as discriminant analysis. The automatic gland extraction is difficult in recent studies because of ill-defined of glands. Also, support vector machine makes up for a fault of discriminant analysis, Mahalanobis' generalized distance which was used in recent studies. As the result of that, the rate of accuracy for discriminant is individually 96.0% as the first step , and 80.9% as the second step, so we confirm the usefulness of the algorism used in this study.

Original language	English
Title of host publication	World Congress on Medical Physics and Biomedical Engineering
Subtitle of host publication	Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Pages	720-723
Number of pages	4
Edition	4
DOIs	https://doi.org/10.1007/978-3-642-03882-2-192
Publication status	Published - 2009 Dec 1
Event	World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany Duration: 2009 Sep 7 → 2009 Sep 12

Publication series

Name	IFMBE Proceedings
Number	4
Volume	25
ISSN (Print)	1680-0737

Other

Other	World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Country	Germany
City	Munich
Period	09/9/7 → 09/9/12

Keywords

Automatic extraction
Prostate tumor
Support vector machine
Texture analysis

ASJC Scopus subject areas

Bioengineering
Biomedical Engineering

Access to Document

10.1007/978-3-642-03882-2-192

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Cite this

Tanaka, T., & Suzuki, A. (2009). Discriminant system for severity of prostate tumor. In World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics (4 ed., pp. 720-723). (IFMBE Proceedings; Vol. 25, No. 4). https://doi.org/10.1007/978-3-642-03882-2-192

Tanaka, T & Suzuki, A 2009, Discriminant system for severity of prostate tumor. in World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4 edn, IFMBE Proceedings, no. 4, vol. 25, pp. 720-723, World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics, Munich, Germany, 09/9/7. https://doi.org/10.1007/978-3-642-03882-2-192

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