Efficiency of the human observer for detecting a Gaussian signal at a known location in non-Gaussian distributed lumpy backgrounds.
暂无分享,去创建一个
Kyle J Myers | Aldo Badano | N. Petrick | A. Badano | K. Myers | Subok Park | Subok Park | Nicholas A Petrick | Bradon D Gallas | B. D. Gallas
[1] Theodore G. Birdsall,et al. Definitions of d′ and η as Psychophysical Measures , 1958 .
[2] D. Hubel,et al. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.
[3] J. Robson. Spatial and Temporal Contrast-Sensitivity Functions of the Visual System , 1966 .
[4] R. F. Wagner,et al. Efficiency of human visual signal discrimination. , 1981, Science.
[5] J. A. Anderson,et al. Associative learning of scene parameters from images. , 1987, Applied optics.
[6] H H Barrett,et al. Effect of random background inhomogeneity on observer detection performance. , 1992, Journal of the Optical Society of America. A, Optics and image science.
[7] Kyle J. Myers,et al. Model observers for assessment of image quality , 1993 .
[8] A E Burgess,et al. Visual signal detectability with two noise components: anomalous masking effects. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.
[9] H. Barrett,et al. Objective assessment of image quality. III. ROC metrics, ideal observers, and likelihood-generating functions. , 1998, Journal of the Optical Society of America. A, Optics, image science, and vision.
[10] A E Burgess,et al. The Rose model, revisited. , 1999, Journal of the Optical Society of America. A, Optics, image science, and vision.
[11] A E Burgess. Visual signal detection with two-component noise: low-pass spectrum effects. , 1999, Journal of the Optical Society of America. A, Optics, image science, and vision.
[12] A Badano,et al. Method for measuring veiling glare in high-performance display devices. , 2000, Applied optics.
[13] H H Barrett,et al. Human- and model-observer performance in ramp-spectrum noise: effects of regularization and object variability. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.
[14] A. Burgess,et al. Human observer detection experiments with mammograms and power-law noise. , 2001, Medical physics.
[15] Felix Wichmann,et al. The psychometric function: II. Bootstrap-based confidence intervals and sampling , 2001, Perception & psychophysics.
[16] H. Barrett,et al. Ideal-observer computation in medical imaging with use of Markov-chain Monte Carlo techniques. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.
[17] Harrison H Barrett,et al. Validating the use of channels to estimate the ideal linear observer. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.
[18] Aldo Badano,et al. Comparison of conoscopic, telescopic, and goniometric methods for measuring angular emissions from medical liquid-crystal displays. , 2004, Applied optics.
[19] Miguel P Eckstein,et al. Search for lesions in mammograms: statistical characterization of observer responses. , 2003, Medical physics.
[20] Matthew A. Kupinski,et al. Efficiency of human and model observers for signal-detection tasks in non-Gaussian distributed lumpy backgrounds , 2005, SPIE Medical Imaging.
[21] Eric Clarkson,et al. Efficiency of the human observer detecting random signals in random backgrounds. , 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.
[22] Fangfang Shen,et al. Using Fisher information to approximate ideal-observer performance on detection tasks for lumpy-background images. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.
[23] Brandon D Gallas,et al. One-shot estimate of MRMC variance: AUC. , 2006, Academic radiology.