Development of an Ultrasonographic Cancer Diagnostic System Using Fuzzy Theory

• Arita S.

  Kawasaki Medical School

• Fujioka T.

  Iwate Medical Univ.

• Koike H.

  Iwate Medical Univ.

• Kubo T.

  Iwate Medical Univ.

• Saito T.

  Kawasaki Medical School

• Hori Y.

  Kawasaki Univ. of Medical Welfare

Bibliographic Information

Other Title

• ファジィ理論による超音波癌診断支援装置の開発

Abstract

Ultrasonography is indispensable in diagnosis of various malignant tumors. Large variances in distinguishing between benign and malignant tumors are due to the fact that description evaluations and diagnostic method/expertise vary widely among individual physicians. Variable description evaluation is mainly due to image diagnosis fuzziness. We describe an ultrasonographic-based (ultrasonic tomogram) cancer diagnosis system which takes into account image diagnosis fuzziness and applies fuzzy theory. The system is used to distinguish between benign and malignant thyroid nodules and to diagnose prostatic cancer. We also discuss application of fuzzy theory to medical image diagnosis.

Journal

• Proceedings of the Annual Meeting of Biomedical Fuzzy Systems Association : BMFSA

  Proceedings of the Annual Meeting of Biomedical Fuzzy Systems Association : BMFSA 4 (0), 79-85, 1992

  Biomedical Fuzzy Systems Association

Details

• CRID: 1390282681081655808
• NII Article ID: 110008085175
• DOI: 10.24466/bmfsa.4.0_79
• ISSN: 24331449
• Text Lang: ja
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed