SPECIAL SECTION ON BIOMEDICAL IMAGE REPRESENTATION

Modeling mammography examinations

[+] Author Affiliations
Samuel J. Dwyer, Stuart S. Berr, Mark B. Williams

University of Virginia, Department of Radiology, Charlottesville, Virginia 22908

Ellen S. de Paredes, Panos P. Fatouros

MCV Hospitals, Department of Radiology, Richmond, Virginia 23298-0072

Pinkie A. Burrell, William T. Scherer, Manuel D. Rossetti

University of Virginia, Department of System Engineering, Charlottesville, Virginia 22906

J. Electron. Imaging. 8(1), 83-91 (Jan 01, 1999). doi:10.1117/1.482686
History: Received Aug. 3, 1998; Accepted Sept. 17, 1998
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Abstract

Modeling of diagnostic examinations reduces the sample size needed to acquire statistical power. This paper compares the models of receiver operating characteristic analysis, channel models of diagnostic examinations, and uncertainty measures in modeling mammography examination. The cited models are applied to screening mammography. The results of the use of these models are less data required for achieving chosen levels of statistical power. These models are able to manage the large number of variables involved in comparing diagnostic examinations. © 1999 SPIE and IS&T.

© 1999 SPIE and IS&T

Citation

Samuel J. Dwyer, III ; Stuart S. Berr ; Mark B. Williams ; Ellen S. de Paredes ; Panos P. Fatouros, et al.
"Modeling mammography examinations", J. Electron. Imaging. 8(1), 83-91 (Jan 01, 1999). ; http://dx.doi.org/10.1117/1.482686


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