title: A neural network approach to the early detection of cancer.
abstract: Early detection of some cancers (especially of the colon) may be achieved by nuclear magnetic resonance (NMR) spectroscopy applied to whole blood samples. Analysis by conventional Fourier signal processing techniques of the data so obtained has proved to be unreliable because of noise within the associated spectrum. This paper describes a neural network approach to analysis of the NMR data. At the present time, this method has proved to be highly reliable in differentiating between patients with an without colon cancer.
authors.affiliation: Department of Electrical Engineering, University of Wyoming, Laramie 82071-3295.
authors.forename: S
authors.initials: S
authors.lastname: Dwarakanath
authors.forename: C D
authors.initials: CD
authors.lastname: Ferris
authors.forename: J W
authors.initials: JW
authors.lastname: Pierre
authors.forename: R O
authors.initials: RO
authors.lastname: Asplund
authors.forename: D L
authors.initials: DL
authors.lastname: Curtis
mesh_terms: D003110:Colonic Neoplasms / Q000097:blood / Q000175:diagnosis*; D006801:Humans; D009682:Magnetic Resonance Spectroscopy; D016571:Neural Networks, Computer