Neural networks in radiologic diagnosis. I. Introduction and illustration

John M Boone, G. W. Gross, V. Greco-Hunt

Research output: Contribution to journalArticle

58 Citations (Scopus)

Abstract

Artificial neural networks (NNs) process information in a manner similar to the way the human brain is thought to process information. Neural networks have potential application in radiology as an artificial intelligence technique that can provide computer-aided diagnostic assistance for the practicing radiologist. The basic characteristics of NNs and the manner in which information propagates through an NN are discussed in nontechnical language, to assist the diagnostic radiologist in understanding the basic principles of neurocomputing. Computer-aided diagnosis selection in pediatric chest radiography using NNs is discussed in a companion article.

Original languageEnglish (US)
Pages (from-to)1012-1016
Number of pages5
JournalInvestigative Radiology
Volume25
Issue number9
StatePublished - 1990
Externally publishedYes

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Information Services
Artificial Intelligence
Radiology
Radiography
Language
Thorax
Pediatrics
Brain
Radiologists

Keywords

  • artificial intelligence
  • computer-aided diagnosis
  • neural networks

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

Neural networks in radiologic diagnosis. I. Introduction and illustration. / Boone, John M; Gross, G. W.; Greco-Hunt, V.

In: Investigative Radiology, Vol. 25, No. 9, 1990, p. 1012-1016.

Research output: Contribution to journalArticle

Boone, JM, Gross, GW & Greco-Hunt, V 1990, 'Neural networks in radiologic diagnosis. I. Introduction and illustration', Investigative Radiology, vol. 25, no. 9, pp. 1012-1016.
Boone, John M ; Gross, G. W. ; Greco-Hunt, V. / Neural networks in radiologic diagnosis. I. Introduction and illustration. In: Investigative Radiology. 1990 ; Vol. 25, No. 9. pp. 1012-1016.
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