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
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;
Conference_Titel :
Intelligent Methods in Healthcare and Medical Applications (Digest No. 1998/514), IEE Colloquium on
Conference_Location :
York
DOI :
10.1049/ic:19981036