Skip to main content
Top
Published in: European Radiology 3/2011

01-03-2011 | Editorial

Computer aided detection and diagnosis in radiology

Authors: E. Kotter, M. Langer

Published in: European Radiology | Issue 3/2011

Login to get access

Excerpt

During the past two decades, the volume of image data produced within Radiology Departments has grown continuously, with a doubling time of approximately 2 years. This increase is mainly due to the growing demand for high resolution sectional imaging. It can be foreseen that introduction of functional imaging techniques into clinical routine will contribute to further increases in data production in radiology. However, the number of radiologists has not been growing in parallel. Consequently, the productivity in terms of number of images to be analysed in a given time span per radiologist has increased substantially in the past few years and will be further growing in the future. …
Literature
1.
go back to reference Mang T, Kolligs FT, Schaefer C, Reiser MF, Graser A (2010) Comparison of diagnostic accuracy and interpretation times for a standard and an advanced 3D visualisation technique in CT colonography. Eur Radiol. doi:10.1007/s00330-010-1953-x PubMed Mang T, Kolligs FT, Schaefer C, Reiser MF, Graser A (2010) Comparison of diagnostic accuracy and interpretation times for a standard and an advanced 3D visualisation technique in CT colonography. Eur Radiol. doi:10.​1007/​s00330-010-1953-x PubMed
2.
go back to reference Samulski M, Hupse R, Boetes C, Mus RD, den Heeten GJ, Karssemeijer N (2010) Using computer-aided detection in mammography as a decision support. Eur Radiol 20:2323–2330CrossRefPubMed Samulski M, Hupse R, Boetes C, Mus RD, den Heeten GJ, Karssemeijer N (2010) Using computer-aided detection in mammography as a decision support. Eur Radiol 20:2323–2330CrossRefPubMed
3.
go back to reference Beyer F, Zierott L, Fallenberg EM, Juergens KU, Stoeckel J, Heindel W, Wormanns D (2007) Comparison of sensitivity and reading time for the use of computer-aided detection (CAD) of pulmonary nodules at MDCT as concurrent or second reader. Eur Radiol 17:2941–2947CrossRefPubMed Beyer F, Zierott L, Fallenberg EM, Juergens KU, Stoeckel J, Heindel W, Wormanns D (2007) Comparison of sensitivity and reading time for the use of computer-aided detection (CAD) of pulmonary nodules at MDCT as concurrent or second reader. Eur Radiol 17:2941–2947CrossRefPubMed
4.
go back to reference Roos JE, Paik D, Olsen D, Liu EG, Chow LC, Leung AN, Mindelzun R, Choudhury KR, Naidich DP, Napel S, Rubin GD (2010) Computer-aided detection (CAD) of lung nodules in CT scans: radiologist performance and reading time with incremental CAD assistance. Eur Radiol 20:549–557CrossRefPubMed Roos JE, Paik D, Olsen D, Liu EG, Chow LC, Leung AN, Mindelzun R, Choudhury KR, Naidich DP, Napel S, Rubin GD (2010) Computer-aided detection (CAD) of lung nodules in CT scans: radiologist performance and reading time with incremental CAD assistance. Eur Radiol 20:549–557CrossRefPubMed
Metadata
Title
Computer aided detection and diagnosis in radiology
Authors
E. Kotter
M. Langer
Publication date
01-03-2011
Publisher
Springer-Verlag
Published in
European Radiology / Issue 3/2011
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-010-2046-6

Other articles of this Issue 3/2011

European Radiology 3/2011 Go to the issue