Literature DB >> 15559126

Computer-aided diagnosis in chest radiology.

Hiroyuki Abe1, Heber Macmahon, Junji Shiraishi, Qiang Li, Roger Engelmann, Kunio Doi.   

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.

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Year:  2004        PMID: 15559126     DOI: 10.1053/j.sult.2004.02.004

Source DB:  PubMed          Journal:  Semin Ultrasound CT MR        ISSN: 0887-2171            Impact factor:   1.875


  5 in total

Review 1.  Computer-aided diagnosis in medical imaging: historical review, current status and future potential.

Authors:  Kunio Doi
Journal:  Comput Med Imaging Graph       Date:  2007-03-08       Impact factor: 4.790

2.  Does computer-aided diagnosis for lung tumors change satisfaction of search in chest radiography?

Authors:  Kevin S Berbaum; Robert T Caldwell; Kevin M Schartz; Brad H Thompson; E A Franken
Journal:  Acad Radiol       Date:  2007-09       Impact factor: 3.173

3.  Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art.

Authors:  M V Sprindzuk; V A Kovalev; E V Snezhko; S A Kharuzhyk
Journal:  Pol J Radiol       Date:  2010-01

4.  Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs.

Authors:  Sivaramakrishnan Rajaraman; Sema Candemir; Incheol Kim; George Thoma; Sameer Antani
Journal:  Appl Sci (Basel)       Date:  2018-09-20       Impact factor: 2.679

Review 5.  Computer-aided detection in chest radiography based on artificial intelligence: a survey.

Authors:  Chunli Qin; Demin Yao; Yonghong Shi; Zhijian Song
Journal:  Biomed Eng Online       Date:  2018-08-22       Impact factor: 2.819

  5 in total

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