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
Link To Document