NEURAL NETWORKS IN RADIOLOGIC-DIAGNOSIS .1. INTRODUCTION AND ILLUSTRATION

被引：69

作者：

BOONE, JM ^{[1
]}

GROSS, GW ^{[1
]}

GRECOHUNT, V ^{[1
]}

机构：

[1] THOMAS JEFFERSON UNIV,JEFFERSON MED COLL,PHILADELPHIA,PA 19107

来源：

INVESTIGATIVE RADIOLOGY | 1990年 / 25卷 / 09期

关键词：

Artificial intelligence; Computer-aided diagnosis; Neural networks;

D O I：

10.1097/00004424-199009000-00012

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

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. © Lippincott-Raven Publishers.

引用

页码：1012 / 1016

页数：5

共 7 条

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[2] NEURAL NETWORKS IN RADIOLOGY - AN INTRODUCTION AND EVALUATION IN A SIGNAL-DETECTION TASK [J].

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SIGILLITO, VG ;

SHABER, GS .

MEDICAL PHYSICS, 1990, 17 (02) :234-241

[3] NEURAL NETWORKS IN RADIOLOGIC-DIAGNOSIS .2. INTERPRETATION OF NEONATAL CHEST RADIOGRAPHS [J].

GROSS, GW ;

BOONE, JM ;

GRECOHUNT, V ;

GREENBERG, B .

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