title: Computer-aided diagnosis in chest radiology.
abstract: 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.
authors.affiliation: Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, The University of Chicago, Chicago, IL 60637, USA. habe@uchicago.edu
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Abe
authors.forename: Heber
authors.initials: H
authors.lastname: Macmahon
authors.forename: Junji
authors.initials: J
authors.lastname: Shiraishi
authors.forename: Qiang
authors.initials: Q
authors.lastname: Li
authors.forename: Roger
authors.initials: R
authors.lastname: Engelmann
authors.forename: Kunio
authors.initials: K
authors.lastname: Doi
mesh_terms: D003936:Diagnosis, Computer-Assisted; D003937:Diagnosis, Differential; D006801:Humans; D008171:Lung Diseases / Q000000981:diagnostic imaging*; D016571:Neural Networks, Computer; D013902:Radiography, Thoracic; D014584:User-Computer Interface