Literature DB >> 17403598

Computer-aided diagnosis in chest radiography.

Shigehiko Katsuragawa1, Kunio Doi.   

Abstract

We have developed computer-aided diagnosis (CAD) schemes for the detection of lung nodules, interstitial lung diseases, interval changes, and asymmetric opacities, and also for the differential diagnosis of lung nodules and interstitial lung diseases on chest radiographs. Observer performance studies indicate clearly that radiologists' diagnostic accuracy was improved significantly when radiologists used a computer output in their interpretations of chest radiographs. In addition, the automated recognition methods for the patient and the projection view by use of chest radiographs were useful for integrating the chest CAD schemes into the picture-archiving and communication system (PACS).

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Year:  2007        PMID: 17403598     DOI: 10.1016/j.compmedimag.2007.02.003

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  11 in total

1.  Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs.

Authors:  Szilárd Vajda; Alexandros Karargyris; Stefan Jaeger; K C Santosh; Sema Candemir; Zhiyun Xue; Sameer Antani; George Thoma
Journal:  J Med Syst       Date:  2018-06-29       Impact factor: 4.460

2.  Efficacy of computer aided analysis in detection of significant coronary artery stenosis in cardiac using dual source computed tomography.

Authors:  Anja J Reimann; Ilias Tsiflikas; Harald Brodoefel; Michael Scheuering; Daniel Rinck; Andreas F Kopp; Claus D Claussen; Martin Heuschmid
Journal:  Int J Cardiovasc Imaging       Date:  2008-09-28       Impact factor: 2.357

3.  An adaptive incremental approach to constructing ensemble classifiers: application in an information-theoretic computer-aided decision system for detection of masses in mammograms.

Authors:  Maciej A Mazurowski; Jacek M Zurada; Georgia D Tourassi
Journal:  Med Phys       Date:  2009-07       Impact factor: 4.071

4.  An automatic computer-aided detection scheme for pneumoconiosis on digital chest radiographs.

Authors:  Peichun Yu; Hao Xu; Ying Zhu; Chao Yang; Xiwen Sun; Jun Zhao
Journal:  J Digit Imaging       Date:  2011-06       Impact factor: 4.056

5.  Clinical usefulness of temporal subtraction method in screening digital chest radiography with a mobile computed radiography system.

Authors:  Yasuo Sasaki; Katsumi Abe; Makiko Tabei; Shigehiko Katsuragawa; Atsuko Kurosaki; Shoji Matsuoka
Journal:  Radiol Phys Technol       Date:  2010-12-18

Review 6.  Computer-assisted detection of infectious lung diseases: a review.

Authors:  Ulaş Bağcı; Mike Bray; Jesus Caban; Jianhua Yao; Daniel J Mollura
Journal:  Comput Med Imaging Graph       Date:  2011-07-01       Impact factor: 4.790

7.  Computer-aided detection and quantification of cavitary tuberculosis from CT scans.

Authors:  Ziyue Xu; Ulas Bagci; Andre Kubler; Brian Luna; Sanjay Jain; William R Bishai; Daniel J Mollura
Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

8.  Selection of examples in case-based computer-aided decision systems.

Authors:  Maciej A Mazurowski; Jacek M Zurada; Georgia D Tourassi
Journal:  Phys Med Biol       Date:  2008-10-14       Impact factor: 3.609

9.  Identification and classification of pneumonia disease using a deep learning-based intelligent computational framework.

Authors:  Rong Yi; Lanying Tang; Yuqiu Tian; Jie Liu; Zhihui Wu
Journal:  Neural Comput Appl       Date:  2021-05-20       Impact factor: 5.606

10.  Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features.

Authors:  Narathip Reamaroon; Michael W Sjoding; Jonathan Gryak; Brian D Athey; Kayvan Najarian; Harm Derksen
Journal:  Comput Biol Med       Date:  2021-05-11       Impact factor: 6.698

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