Study of feature extraction for diagnosing prostate cancer

Yoshiteru Toki, Toshiyuki Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

As the number of patient with prostate cancer increases, the computer aided diagnosis support for prostate cancer become important. Traditional computer-based method checks the detailed texture of the image, but the proposed method focuses on area and relation of position from a broader field of view approximating the way of diagnosis is made by pathologist. As a result, average of the glands' inner area seems significant for classifying Gleason Grade.

Original languageEnglish
Title of host publicationProceedings of SICE Annual Conference 2010, SICE 2010 - Final Program and Papers
PublisherSociety of Instrument and Control Engineers (SICE)
Pages1039-1041
Number of pages3
ISBN (Print)9784907764364
Publication statusPublished - 2010 Jan 1

Publication series

NameProceedings of the SICE Annual Conference

Keywords

  • Digital pathology
  • Feature extraction
  • Image processing
  • Prostate cancer

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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