• DocumentCode
    2544167
  • Title

    Neural networks in practice-an example from magnetic resonance spectroscopy

  • Author

    Lee, Y.Y.B. ; Vellido, A. ; El-Deredy, W. ; Kirby, S.P.J. ; Lisboa, P.J.G.

  • Author_Institution
    Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., UK
  • fYear
    1998
  • fDate
    36088
  • Firstpage
    42491
  • Lastpage
    42495
  • Abstract
    There are currently few commercially available clinical products with neural network components-in fact only one has gained FDA approval, and none have yet been certified by the MDA. A major step in the certification process is proving the integrity of the neural network component, which cannot be done by reference to substantially equivalent certified products because they do not exist. Consequently, the case for the use of the new technology has to be made explicitly, by recourse to best practice in its design and evaluation. This paper discusses the use neural networks in medical applications, with reference to a case study from magnetic resonance spectroscopy (MRS)
  • Keywords
    magnetic resonance spectroscopy; FDA approval; MDA certification process; best practice; case study; clinical products; component integrity; magnetic resonance spectroscopy; medical applications; neural networks; new technology; technology design; technology evaluation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Intelligent Methods in Healthcare and Medical Applications (Digest No. 1998/514), IEE Colloquium on
  • Conference_Location
    York
  • Type

    conf

  • DOI
    10.1049/ic:19981036
  • Filename
    744738