Paper
12 April 2002 Identification of superior discriminators during non-ROC studies
Jill L. King, F. Leland Thaete M.D., Jules H. Sumkin M.D., Cynthia A. Britton M.D., Arleen M. Peterson, Jeffrey D. Towers M.D., Thomas Chang, Carl R. Fuhrman, David Gur
Author Affiliations +
Abstract
Small, efficient observer performance study methods, such as multi-point rank order and forced choice, can be used to either determine the necessity to perform a large scale, receiver operator characteristic (ROC) study or to set the boundary conditions at which it makes sense to perform an ROC study. Because these studies often require observers to discriminate between (among) modes having small visual differences, we decided to address the issue of observers' abilities to make distinctions between modes in these types of non-ROC studies. In this project we reviewed the data of six different non-ROC studies that included a total of 24 observers to determine whether some behave as better mode discriminators. Because of the actual small differences, most observers performed poorly in identifying differences between or among modes. At the same time, at least one and sometimes more observers could identify extremely small differences between modes. These differences were statistically significant. Our results indicate that a good mode discriminator in one study may not perform as well in another such study. Non-ROC studies can be highly sensitive to differences between modes. However, large differences in observer performance combined with observer inconsistency across studies necessitates that these studies include multiple observers.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jill L. King, F. Leland Thaete M.D., Jules H. Sumkin M.D., Cynthia A. Britton M.D., Arleen M. Peterson, Jeffrey D. Towers M.D., Thomas Chang, Carl R. Fuhrman, and David Gur "Identification of superior discriminators during non-ROC studies", Proc. SPIE 4686, Medical Imaging 2002: Image Perception, Observer Performance, and Technology Assessment, (12 April 2002); https://doi.org/10.1117/12.462700
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KEYWORDS
Image compression

Image quality

Chest

Image processing

Image resolution

Chromium

Statistical analysis

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