Discriminant system for severity of prostate tumor

T. Tanaka, A. Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering
Subtitle of host publicationImage Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Pages720-723
Number of pages4
Edition4
DOIs
Publication statusPublished - 2009 Dec 1
EventWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
Duration: 2009 Sep 72009 Sep 12

Publication series

NameIFMBE Proceedings
Number4
Volume25
ISSN (Print)1680-0737

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
CountryGermany
CityMunich
Period09/9/709/9/12

Keywords

  • Automatic extraction
  • Prostate tumor
  • Support vector machine
  • Texture analysis

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Discriminant system for severity of prostate tumor'. Together they form a unique fingerprint.

  • 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