• DocumentCode
    3613922
  • Title

    Learning to interpret medical images

  • Author

    C. Taylor;T. Cootes;R. Davies;C. Twining

  • Author_Institution
    Imaging Sci. & Biomed. Eng., Manchester Univ., UK
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    34
  • Lastpage
    37
  • Abstract
    Statistical shape and appearance models are proving valuable tools for medical image analysis. In this paper we outline the methodology and highlight important recent developments. In particular, we consider an extension to images of differing modality, and describe an optimisation approach to establishing correspondences across a training set of shapes.
  • Keywords
    "Biomedical imaging","Shape control","Vectors","Image analysis","Shape measurement","Principal component analysis","Biomedical engineering","Biomedical measurements","Size measurement","Data analysis"
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on
  • Print_ISBN
    0-7803-7584-X
  • Type

    conf

  • DOI
    10.1109/ISBI.2002.1029186
  • Filename
    1029186
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3613922