ROC curves predicted by a model of visual search
暂无分享,去创建一个
[1] Laura Chamberlain. Eye Tracking Methodology; Theory and Practice , 2007 .
[2] D P Chakraborty. A search model and figure of merit for observer data acquired according to the free-response paradigm. , 2006, Physics in medicine and biology.
[3] Dev P Chakraborty,et al. Observer studies involving detection and localization: modeling, analysis, and validation. , 2004, Medical physics.
[4] Harold L. Kundel,et al. Modeling visual search during mammogram viewing , 2004, SPIE Medical Imaging.
[5] W. Press,et al. Numerical Recipes in C++: The Art of Scientific Computing (2nd edn)1 Numerical Recipes Example Book (C++) (2nd edn)2 Numerical Recipes Multi-Language Code CD ROM with LINUX or UNIX Single-Screen License Revised Version3 , 2003 .
[6] B. Krauskopf,et al. Proc of SPIE , 2003 .
[7] Andrew T. Duchowski,et al. Eye Tracking Methodology: Theory and Practice , 2003, Springer London.
[8] Darrin C. Edwards,et al. Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model. , 2002, Medical physics.
[9] D Gur,et al. A constrained formulation for the receiver operating characteristic (ROC) curve based on probability summation. , 2001, Medical physics.
[10] Kevin S. Berbaum,et al. A contaminated binormal model for ROC data , 2000 .
[11] K S Berbaum,et al. A contaminated binormal model for ROC data: Part II. A formal model. , 2000, Academic radiology.
[12] C. Metz,et al. "Proper" Binormal ROC Curves: Theory and Maximum-Likelihood Estimation. , 1999, Journal of mathematical psychology.
[13] C. Metz,et al. Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data. , 1998, Statistics in medicine.
[14] K. Berbaum,et al. Proper receiver operating characteristic analysis: the bigamma model. , 1997, Academic radiology.
[15] R. Swensson. Unified measurement of observer performance in detecting and localizing target objects on images. , 1996, Medical physics.
[16] K. Berbaum,et al. Satisfaction of search in diagnostic radiology. , 1989, Investigative radiology.
[17] F. A. Seiler,et al. Numerical Recipes in C: The Art of Scientific Computing , 1989 .
[18] C E Metz,et al. Some practical issues of experimental design and data analysis in radiological ROC studies. , 1989, Investigative radiology.
[19] J. Hanley. The Robustness of the "Binormal" Assumptions Used in Fitting ROC Curves , 1988, Medical decision making : an international journal of the Society for Medical Decision Making.
[20] C. Nodine,et al. Using eye movements to study visual search and to improve tumor detection. , 1987, Radiographics : a review publication of the Radiological Society of North America, Inc.
[21] C. Metz. ROC Methodology in Radiologic Imaging , 1986, Investigative radiology.
[22] H L Kundel,et al. A visual concept shapes image perception. , 1983, Radiology.
[23] Richard G. Swensson,et al. A two-stage detection model applied to skilled visual search by radiologists , 1980 .
[24] C. Metz. Basic principles of ROC analysis. , 1978, Seminars in nuclear medicine.
[25] D. Dorfman,et al. Maximum-likelihood estimation of parameters of signal-detection theory and determination of confidence intervals—Rating-method data , 1969 .
[26] D. M. Green,et al. Signal detection theory and psychophysics , 1966 .
[27] Sabrina S Wilson. Radiology , 1938, Glasgow Medical Journal.
[28] R. Fisher,et al. Limiting forms of the frequency distribution of the largest or smallest member of a sample , 1928, Mathematical Proceedings of the Cambridge Philosophical Society.