Estimation ROC curves and their corresponding ideal observers

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6515, Issue , 2007, Pages

  Clarkson, Eric ^a  

^a UNIVERSITY OF ARIZONA   (United States)

Author keywords

Estimation; Image quality; ROC analysis

Indexed keywords

BINARY FUNCTIONS; ROC ANALYSIS; ROC CURVES;

BINARY SEQUENCES; CURVE FITTING; IMAGE QUALITY; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER EXTRACTION;

IMAGE ANALYSIS;

EID: 35148889859     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.708250     Document Type: Conference Paper

References (6)

1. P. Khurd and G. Gindi, "Decision strategies maximizing the area under the LROC curve," in Medical Imaging 2005: Image Perception, Observer Performance, and Technology Assessment, 5749, pp. 150-161, SPIE, 2005.
2. H. H. Barrett, C. K. Abbey, and E. Clarkson, "Objective assessment of image quality. III. ROC metrics, ideal observers, and likelihood-generating functions," Journal of the Optical Society of America A 15, pp. 1520-1535, 1998.
3. F. Shen and E. Clarkson, "Using Fisher information to approximate ideal observer performance on detection tasks for lumpy backgrounds," Journal of the Optical Society of America A 23, pp. 2406-2414, 2006.
4. E. Clarkson and H. H. Barrett, "Approximations to ideal-observer performance on signal-detection tasks," Applied Optics 39(11), pp. 1783-1794, 2000.
5. E. Clarkson and M. A. Kupinski, "Assessing the accuracy of estimates of the likelihood ratio," in Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment, D. P. Chakraborty and E. A. Krupinski, eds., pp. 135-143, 2003.
6. H. L. Van Trees, Detection, estimation, and modulation theory (Part I), Academic Press, New York, 1968.