Neural networks in radiologic diagnosis. I. Introduction and illustration

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

Neural networks in radiologic diagnosis. I. Introduction and illustration

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

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Pages (from-to)	1012-1016
Number of pages	5
Journal	Investigative Radiology
Volume	25
Issue number	9
State	Published - 1990
Externally published	Yes

Keywords

artificial intelligence
computer-aided diagnosis
neural networks

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging
Radiological and Ultrasound Technology

Fingerprint Dive into the research topics of 'Neural networks in radiologic diagnosis. I. Introduction and illustration'. Together they form a unique fingerprint.

Cite this

@article{f6e1f56fbe4740cb8154efc914d812a8,

title = "Neural networks in radiologic diagnosis. I. Introduction and illustration",

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.",

keywords = "artificial intelligence, computer-aided diagnosis, neural networks",

author = "Boone, {John M} and Gross, {G. W.} and V. Greco-Hunt",

year = "1990",

language = "English (US)",

volume = "25",

pages = "1012--1016",

journal = "Investigative Radiology",

issn = "0020-9996",

publisher = "Lippincott Williams and Wilkins",

number = "9",

}

TY - JOUR

T1 - Neural networks in radiologic diagnosis. I. Introduction and illustration

AU - Boone, John M

AU - Gross, G. W.

AU - Greco-Hunt, V.

PY - 1990

Y1 - 1990

N2 - 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.

AB - 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.

KW - artificial intelligence

KW - computer-aided diagnosis

KW - neural networks

UR - http://www.scopus.com/inward/record.url?scp=0025005686&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0025005686&partnerID=8YFLogxK

M3 - Article

C2 - 2211042

AN - SCOPUS:0025005686

VL - 25

SP - 1012

EP - 1016

JO - Investigative Radiology

JF - Investigative Radiology

SN - 0020-9996

IS - 9

ER -

Neural networks in radiologic diagnosis. I. Introduction and illustration

Abstract

Keywords

ASJC Scopus subject areas

Other files and links

Cite this