Title :
Modeling mammography examinations
Author :
Dwyer, Samuel J. ; Berr, Stuart ; Williams, Mark B.
Author_Institution :
Dept. of Radiol., Virginia Univ., Charlottesville, VA, USA
Abstract :
The modeling of diagnostic examinations reduces the sample size needed to acquire statistical power. This paper compares the models of ROC analysis, channel models of diagnostic examinations, and uncertainty measures in modeling mammography examinations. The cited models are applied to screening mammography. The result of the use of these models is that less data is required for achieving the chosen levels of statistical power. Thee models are able to manage the large number of variables involved in comparing diagnostic examinations
Keywords :
diagnostic radiography; modelling; statistical analysis; ROC analysis; channel models; data requirements; diagnostic examination modelling; mammography examinations; receiver operating characteristic; sample size; screening; statistical power; uncertainty measures; Cancer; Diagnostic radiography; Displays; Image generation; Lesions; Mammography; Monitoring; Printers; Radiology; Workstations;
Conference_Titel :
Computer-Based Medical Systems, 1998. Proceedings. 11th IEEE Symposium on
Conference_Location :
Lubbock, TX
Print_ISBN :
0-8186-8564-6
DOI :
10.1109/CBMS.1998.701314
