Abstract

In conventional receiver-operating-characteristic (ROC) curve analysis of visual detection performance, the observer is credited with a true-positive response if a visual signal is present somewhere in a radiograph called "positive" by the observer; however, the measured true-positive rate can be different for a given false-positive rate if the observer is required to identify the correct location of the visual signal in order to receive credit for a true-positive response. The authors describe and have confirmed experimentally a model which can be used to predict observer performance in an experiment requiring both detection and localization on the basis of the conventional ROC curve determined in a detection experiment. Implications for the use of signal detection theory in the assessment of radiographic image quality are discussed.

Keywords

Observer (physics)Receiver operating characteristicMedicineRadiographyArtificial intelligenceFalse positive rateImage qualityDetection theoryComputer visionImage (mathematics)RadiologyDetectorComputer science

Affiliated Institutions

Related Publications

Publication Info

Year
1975
Type
article
Volume
116
Issue
3
Pages
533-538
Citations
205
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

205
OpenAlex

Cite This

Stuart J. Starr, Charles E. Metz, Lee B. Lusted et al. (1975). Visual Detection and Localization of Radiographic Images. Radiology , 116 (3) , 533-538. https://doi.org/10.1148/116.3.533

Identifiers

DOI
10.1148/116.3.533