Algorism of extracting nuclear and membrane for diagnosing early breast cancer

Shunsuke Tomiyama, Toshiyuki Tanaka

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

Abstract

As technology of image diagnosis develops, the number of early breast cancer patients tends to increase, today. Then, in order to improve their QOL, we should select a cure for them. Breast cancer is classified as four disease types by expression of three proteins (ER, PgR, HER2). And, ER and PgR express in nuclear and HER2 expresses in membranes. So, it is important that we extract nuclear and membrane exactly. Then, we propose the methods of extracting nuclear by watershed algorithm and using membrane, and membrane by using canny filter. By using our methods, we can extract nuclear and membrane more exactly than by general method.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages2193-2196
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

  • Breast Cancer
  • Cell Recognition
  • Extracting Nuclear and Membrane

ASJC Scopus subject areas

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

Cite this

Tomiyama, S., & Tanaka, T. (2012). Algorism of extracting nuclear and membrane for diagnosing early breast cancer. In Proceedings of the SICE Annual Conference (pp. 2193-2196). [6318378]