[Machine Learning for Computer-aided Diagnosis].

Journal: Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics
Published Date:

Abstract

Machine learning algorithms are to analyze any dataset to extract data-driven model, prediction rule, or decision rule from the dataset. Various machine learning algorithms are now used to develop high-performance medical image processing systems such as computer-aided detection (CADe) system which detects clinically significant objects from medical images and computer-aided diagnosis (CADx) system which quantifies malignancy of manually or automatically detected clinical objects. In this paper, we introduce some applications of machine learning algorithms to the development of medical image processing system.

Authors

  • Mitsutaka Nemoto
    The University of Tokyo Hospital.
  • Yoshitaka Masutani
    Graduate School of Information Sciences, Hiroshima City University.
  • Yukihiro Nomura
    The University of Tokyo Hospital.
  • Shohei Hanaoka
    The University of Tokyo Hospital.
  • Soichiro Miki
    The University of Tokyo Hospital.
  • Takeharu Yoshikawa
    The University of Tokyo Hospital.
  • Naoto Hayashi
    The University of Tokyo Hospital.
  • Kuni Ootomo
    International University of Health and Welfare.