Correlation of free-response and receiver-operating-characteristic area-under-the-curve estimates: results from independently conducted FROC∕ROC studies in mammography.
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Hilde Bosmans | Chantal Van Ongeval | Hong-Jun Yoon | Federica Zanca | Valerie Celis | Veerle Provoost | Filip Claus | H. Bosmans | C. Van Ongeval | F. Zanca | Hong-Jun Yoon | F. Claus | Stephen L. Hillis | V. Provoost | V. Celis | Stephen L. Hillis
[1] Guido Valli,et al. Neural networks for computer-aided diagnosis: detection of lung nodules in chest radiograms , 2003, IEEE Transactions on Information Technology in Biomedicine.
[2] David Gur,et al. Agreement of the order of overall performance levels under different reading paradigms. , 2008, Academic radiology.
[3] Hilde Bosmans,et al. An improved method for simulating microcalcifications in digital mammograms. , 2008, Medical physics.
[4] Luisa P. Wallace,et al. The "laboratory" effect: comparing radiologists' performance and variability during prospective clinical and laboratory mammography interpretations. , 2008, Radiology.
[5] R. L. Birdwell. Digital Breast Tomosynthesis: A Pilot Observer Study , 2009 .
[6] Dev P Chakraborty,et al. Observer studies involving detection and localization: modeling, analysis, and validation. , 2004, Medical physics.
[7] Hiroyuki Yoshida,et al. Virtual tagging for laxative-free CT colonography: pilot evaluation. , 2009, Medical physics.
[8] Berkman Sahiner,et al. Dual system approach to computer-aided detection of breast masses on mammograms. , 2006, Medical physics.
[9] Rachel Toomey,et al. The impact of acoustic noise found within clinical departments on radiology performance. , 2008, Academic radiology.
[10] M Båth,et al. Effect of clinical experience of chest tomosynthesis on detection of pulmonary nodules , 2009, Acta radiologica.
[11] 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.
[12] Hong-Jun Yoon,et al. Operating characteristics predicted by models for diagnostic tasks involving lesion localization. , 2008, Medical physics.
[13] Tae Jung Kim,et al. Is the Computer-Aided Detection Scheme for Lung Nodule Also Useful in Detecting Lung Cancer? , 2008, Journal of computer assisted tomography.
[14] A. Flinck,et al. Comparison of chest tomosynthesis and chest radiography for detection of pulmonary nodules: human observer study of clinical cases. , 2008, Radiology.
[15] K. Berbaum,et al. Receiver operating characteristic rating analysis. Generalization to the population of readers and patients with the jackknife method. , 1992, Investigative radiology.
[16] Laurie L Fajardo,et al. Free-response receiver operating characteristic evaluation of lossy JPEG2000 and object-based set partitioning in hierarchical trees compression of digitized mammograms. , 2005, Radiology.
[17] J. Baker,et al. A mathematical model platform for optimizing a multiprojection breast imaging system. , 2008, Medical physics.
[18] N. Obuchowski,et al. Hypothesis testing of diagnostic accuracy for multiple readers and multiple tests: An anova approach with dependent observations , 1995 .
[19] David Gur,et al. A comparison of two data analyses from two observer performance studies using Jackknife ROC and JAFROC. , 2005, Medical physics.
[20] Berkman Sahiner,et al. Computer-aided detection system for clustered microcalcifications: comparison of performance on full-field digital mammograms and digitized screen-film mammograms , 2007, Physics in medicine and biology.
[21] Ehsan Samei,et al. Simulation of mammographic lesions. , 2006, Academic radiology.
[22] Benjamin M. W. Tsui,et al. Exploring FROC paradigm: initial experience with clinical applications , 2006, SPIE Medical Imaging.
[23] E. Melhem,et al. Artificial multiple sclerosis lesions on simulated FLAIR brain MR images: echo time and observer performance in detection. , 2006, Radiology.
[24] Ehsan Samei,et al. The quantitative potential for breast tomosynthesis imaging. , 2010, Medical physics.
[25] Qiang Li,et al. Usefulness of temporal subtraction images for identification of interval changes in successive whole-body bone scans: JAFROC analysis of radiologists' performance. , 2007, Academic radiology.
[26] Receiver Operating Characteristic Analysis in Medical Imaging , 2008 .
[27] D. McClish. Analyzing a Portion of the ROC Curve , 1989, Medical decision making : an international journal of the Society for Medical Decision Making.
[28] H. Ishwaran,et al. A general class of hierarchical ordinal regression models with applications to correlated roc analysis , 2000 .
[29] Frank W. Samuelson,et al. Non-localization and localization ROC analyses using clinically based scoring , 2009, Medical Imaging.
[30] Stephen L Hillis,et al. Recent developments in the Dorfman-Berbaum-Metz procedure for multireader ROC study analysis. , 2008, Academic radiology.
[31] C. Metz,et al. A receiver operating characteristic partial area index for highly sensitive diagnostic tests. , 1996, Radiology.
[32] John F. Hamilton,et al. A Free Response Approach To The Measurement And Characterization Of Radiographic Observer Performance , 1977, Other Conferences.
[33] Arnau Oliver,et al. A review of automatic mass detection and segmentation in mammographic images , 2010, Medical Image Anal..
[34] B. Kiefer,et al. Diagnosis of hepatic metastasis: comparison of respiration-triggered diffusion-weighted echo-planar MRI and five t2-weighted turbo spin-echo sequences. , 2008, AJR. American journal of roentgenology.
[35] K S Berbaum,et al. Monte Carlo validation of a multireader method for receiver operating characteristic discrete rating data: factorial experimental design. , 1998, Academic radiology.
[36] E. Samei,et al. Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies. , 2007, Medical physics.
[37] Frank W. Samuelson,et al. Comparing signal-based and case-based methodologies for CAD assessment in a detection task , 2008, SPIE Medical Imaging.
[38] R. F. Wagner,et al. Components-of-variance models for random-effects ROC analysis: the case of unequal variance structures across modalities. , 2001, Academic radiology.
[39] Ce. Metz,et al. Receiver operating characteristic (ROC) analysis in medical imaging , 1997 .
[40] B. Efron. Jackknife‐After‐Bootstrap Standard Errors and Influence Functions , 1992 .
[41] Hironobu Nakamura,et al. Commercially available computer-aided detection system for pulmonary nodules on thin-section images using 64 detectors-row CT: preliminary study of 48 cases. , 2009, Academic radiology.
[42] S. Hillis. A comparison of denominator degrees of freedom methods for multiple observer ROC analysis , 2007, Statistics in medicine.
[43] R. Swensson. Unified measurement of observer performance in detecting and localizing target objects on images. , 1996, Medical physics.
[44] M. Hellström,et al. Computer-aided detection (CAD) as a second reader using perspective filet view at CT colonography: effect on performance of inexperienced readers. , 2009, Clinical radiology.
[45] N A Obuchowski,et al. Multireader receiver operating characteristic studies: a comparison of study designs. , 1995, Academic radiology.
[46] Elias R Melhem,et al. Detection of simulated multiple sclerosis lesions on T2-weighted and FLAIR images of the brain: observer performance. , 2006, Radiology.
[47] R. F. Wagner,et al. Components-of-variance models and multiple-bootstrap experiments: an alternative method for random-effects, receiver operating characteristic analysis. , 2000, Academic radiology.
[48] T. Hirose,et al. Evaluation of computer-aided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy. , 2008, Academic radiology.
[49] Nancy A Obuchowski,et al. A comparison of the Dorfman–Berbaum–Metz and Obuchowski–Rockette methods for receiver operating characteristic (ROC) data , 2005, Statistics in medicine.
[50] K. Berbaum,et al. Proper receiver operating characteristic analysis: the bigamma model. , 1997, Academic radiology.
[51] Frank W. Samuelson,et al. Comparing image detection algorithms using resampling , 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..
[52] D. Chakraborty. ROC curves predicted by a model of visual search , 2006, Physics in medicine and biology.
[53] C E Metz,et al. Gains in Accuracy from Replicated Readings of Diagnostic Images , 1992, Medical decision making : an international journal of the Society for Medical Decision Making.
[54] Arthur E. Burgess,et al. Producing lesions for hybrid mammograms: extracted tumors and simulated microcalcifications , 1999, Medical Imaging.
[55] R F Wagner,et al. Analysis of uncertainties in estimates of components of variance in multivariate ROC analysis. , 2001, Academic radiology.
[56] Hilde Bosmans,et al. Evaluation of clinical image processing algorithms used in digital mammography. , 2009, Medical physics.
[57] N A Obuchowski,et al. Multireader, multimodality receiver operating characteristic curve studies: hypothesis testing and sample size estimation using an analysis of variance approach with dependent observations. , 1995, Academic radiology.
[58] D. DeLong,et al. Digital mammography: effects of reduced radiation dose on diagnostic performance. , 2007, Radiology.
[59] Ehsan Samei,et al. A technique optimization protocol and the potential for dose reduction in digital mammography. , 2010, Medical physics.
[60] Ehsan Samei,et al. Quantitative imaging in breast tomosynthesis and CT: Comparison of detection and estimation task performance. , 2010, Medical physics.