Image feature extraction method with SIFT to diagnose prostate cancer

Yoshiteru Toki, Toshiyuki Tanaka

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

4 Citations (Scopus)

Abstract

Number of prostate cancer patients are increasing but diagnosing pathologists are not enough. Then supporting system to diagnose prostate cancer on biopsy image is needed by pathologists. However staining conditions of prostate biopsy images are uneven, so extracting their form by automatic method is difficult. Because of this problem, previous study aiming to diagnose each glandular needed to except imperfect extraction glandular. Then we propose new feature extraction method (Area Rates on Components and SIFT + BoK) aiming to improve accuracy on imperfect extracted glands. In our experiment, diagnosing accuracy is improved 6.3% ∼ 13.3%.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages2185-2188
Number of pages4
Publication statusPublished - 2012
Event2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
Duration: 2012 Aug 202012 Aug 23

Other

Other2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
CountryJapan
CityAkita
Period12/8/2012/8/23

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Keywords

  • Image Processing
  • Prostate Cancer
  • SIFT

ASJC Scopus subject areas

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

Cite this

Toki, Y., & Tanaka, T. (2012). Image feature extraction method with SIFT to diagnose prostate cancer. In Proceedings of the SICE Annual Conference (pp. 2185-2188). [6318376]