Computer-aided diagnosis in chest radiology

被引:28
作者
Abe, H [1 ]
MacMahon, H [1 ]
Shiraishi, J [1 ]
Li, Q [1 ]
Engelmann, R [1 ]
Doi, K [1 ]
机构
[1] Univ Chicago, Dept Radiol, Kurt Rossmann Labs Radiol Image Res, Chicago, IL 60637 USA
关键词
artificial neural network; computer-aided diagnosis; computer tomography;
D O I
10.1053/j.sult.2004.02.004
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
Chest radiography is still a useful examination in various situations, although CT has become a modality of choice as a diagnostic examination in many cases. Current computer-aided diagnosis (CAD) schemes for chest radiographs include nodule detection, interstitial disease detection, temporal subtraction, differential diagnosis of interstitial disease, and distinction between benign and malignant pulmonary nodules. All of these schemes are demonstrated as providing potentially useful tools for radiologists when the output of these schemes is used as a "second opinion." There are some commercially available products for these schemes and more are expected to be available in the near future. The current status of CAD for CT is also discussed briefly in this article. © 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码:432 / 437
页数:6
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