Cover Image
QR Code

Artificial neural networks and image interpretation: a ghost in the machine.

The artificial neural network (ANN) is a non-algorithmic parallel processing device modeled after human cerebral architecture. ANNs can be readily simulated on a digital computer and have the potential for significant diagnostic application in both image- and non-imagebased medical diagnosis. This p...

Full description

Published in:Seminars in Ultrasound, CT & MRI Vol. 25; no. 5; pp. 396 - 404
Main Author: Scott JA
Format: tables/charts Journal Article
Published: Elsevier B.V. 2004 Oct
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106641431&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 106641431
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        08872171
        4H1
      jtl: Seminars in Ultrasound, CT & MRI
      issn: 08872171
      maglogo: N
    pubinfo:
      dt: 2004 Oct
      vid: 25
      iid: 5
      pid: 467
      pub: Elsevier B.V.
      place: New York, New York
    artinfo:
      ui:
        106641431
        106641431
        2005088855
        NLM15559122
        106641431
      ppf: 396
      ppct: 8
      formats:
      tig:
        atl: Artificial neural networks and image interpretation: a ghost in the machine.
      aug:
        au: Scott JA
        affil: Division of Nuclear Medicine, Dept of Radiology, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Boston, MA 02114
      sug:
        subj:
          Diagnosis, Computer Assisted
          Neural Networks (Computer)
          Pulmonary Embolism Radiography
      ab: The artificial neural network (ANN) is a non-algorithmic parallel processing device modeled after human cerebral architecture. ANNs can be readily simulated on a digital computer and have the potential for significant diagnostic application in both image- and non-imagebased medical diagnosis. This paper briefly discusses the operation of ANNs, differences between these and more traditional problem solving methods, and some diagnostic imaging problems amenable to their application. Copyright © 2004 by Elsevier Science (USA).
      pubtype: Academic Journal
      doctype:
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N