The perceptual influence of 2D synthesized images on 3D search
暂无分享,去创建一个
[1] H L Kundel,et al. Visual scanning, pattern recognition and decision-making in pulmonary nodule detection. , 1978, Investigative radiology.
[2] D. M. Green,et al. Signal detection theory and psychophysics , 1966 .
[3] Krista A. Ehinger,et al. Comparing search patterns in digital breast tomosynthesis and full-field digital mammography: an eye tracking study , 2017, Journal of medical imaging.
[4] Craig K. Abbey,et al. Evaluation of search strategies for microcalcifications and masses in 3D images , 2018, Medical Imaging.
[5] Trafton Drew,et al. Scanners and drillers: characterizing expert visual search through volumetric images. , 2013, Journal of vision.
[6] Frank W. Samuelson,et al. Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial , 2018, JAMA network open.
[7] Andrew D. A. Maidment,et al. OpenVCT: a GPU-accelerated virtual clinical trial pipeline for mammography and digital breast tomosynthesis , 2018, Medical Imaging.
[8] Per Skaane,et al. Breast cancer screening with digital breast tomosynthesis , 2016, Breast Cancer.
[9] Miguel P Eckstein,et al. The role of extra-foveal processing in 3D imaging , 2017, Medical Imaging.
[10] Ivan Diaz,et al. Measurements of the detectability of hepatic hypovascular metastases as a function of retinal eccentricity in CT images , 2012, Medical Imaging.
[11] Thomas Mertelmeier,et al. Can Digital Breast Tomosynthesis Replace Full-Field Digital Mammography? A Multireader, Multicase Study of Wide-Angle Tomosynthesis. , 2019, AJR. American journal of roentgenology.
[12] C Abbey,et al. Statistical texture synthesis of mammographic images with super-blob lumpy backgrounds. , 1999, Optics express.
[13] Rongping Zeng,et al. Classification images for localization performance in ramp-spectrum noise. , 2018, Medical physics.
[14] Andriy I Bandos,et al. Comparison of two-dimensional synthesized mammograms versus original digital mammograms alone and in combination with tomosynthesis images. , 2014, Radiology.
[15] Ehsan Samei,et al. How does c-view image quality compare with conventional 2D FFDM? , 2016, Medical physics.
[16] Miguel P Eckstein,et al. Search for lesions in mammograms: statistical characterization of observer responses. , 2003, Medical physics.
[17] H L Kundel,et al. Searching for lung nodules. A comparison of human performance with random and systematic scanning models. , 1987, Investigative radiology.
[18] Miguel P Eckstein,et al. Foveated model observers to predict human performance in 3D images , 2017, Medical Imaging.
[19] Ioannis Sechopoulos,et al. Measurement of the useful field of view for single slices of different imaging modalities and targets , 2020, Journal of medical imaging.
[20] Andrew D. A. Maidment,et al. Virtual clinical trial of lesion detection in digital mammography and digital breast tomosynthesis , 2018, Medical Imaging.
[21] 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.
[22] Pierre-Edouard Sottas,et al. Mammographic texture synthesis: second-generation clustered lumpy backgrounds using a genetic algorithm. , 2008, Optics express.
[23] Andriy I Bandos,et al. Two-view digital breast tomosynthesis screening with synthetically reconstructed projection images: comparison with digital breast tomosynthesis with full-field digital mammographic images. , 2014, Radiology.
[24] I. Rentschler,et al. Peripheral vision and pattern recognition: a review. , 2011, Journal of vision.
[25] E. Krupinski,et al. Visual scanning patterns of radiologists searching mammograms. , 1996, Academic radiology.
[26] Trafton Drew,et al. What do we know about volumetric medical image interpretation?: a review of the basic science and medical image perception literatures , 2019, Cognitive Research: Principles and Implications.
[27] Craig K. Abbey,et al. Observer efficiency in free-localization tasks with correlated noise , 2014, Front. Psychol..
[28] R. Rosenholtz. Capabilities and Limitations of Peripheral Vision. , 2016, Annual review of vision science.
[29] A. Burgess,et al. Human observer detection experiments with mammograms and power-law noise. , 2001, Medical physics.
[30] Craig K. Abbey,et al. Interactions of lesion detectability and size across single-slice DBT and 3D DBT , 2018, Medical Imaging.
[31] Neil A. Macmillan,et al. Detection Theory: A User's Guide , 1991 .
[32] J Rovamo,et al. Temporal Integration and Contrast Sensitivity in Foveal and Peripheral Vision , 1984, Perception.
[33] Jayantha Katupitiya,et al. Visual Scanning for , 2003 .
[34] Miguel P Eckstein,et al. Learning cue validity through performance feedback. , 2009, Journal of Vision.