A data-driven approach for quality assessment of radiologic interpretations
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Alex A. T. Bui | William Hsu | Simon X. Han | Corey W. Arnold | Dieter R. Enzmann | D. Enzmann | William Hsu | A. Bui | C. Arnold
[1] David A. Ferrucci,et al. UIMA: an architectural approach to unstructured information processing in the corporate research environment , 2004, Natural Language Engineering.
[2] J. Elmore,et al. Diagnostic concordance among pathologists interpreting breast biopsy specimens. , 2015, JAMA.
[3] B. Monsees,et al. The Mammography Quality Standards Act. An overview of the regulations and guidance. , 2000, Radiologic clinics of North America.
[4] James P Borgstede,et al. RADPEER quality assurance program: a multifacility study of interpretive disagreement rates. , 2004, Journal of the American College of Radiology : JACR.
[5] Jacob Sosna,et al. Peer review in diagnostic radiology: current state and a vision for the future. , 2009, Radiographics : a review publication of the Radiological Society of North America, Inc.
[6] L. Liberman,et al. The breast imaging reporting and data system: positive predictive value of mammographic features and final assessment categories. , 1998, AJR. American journal of roentgenology.
[7] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[8] M. Lacquement,et al. Positive predictive value of the Breast Imaging Reporting and Data System. , 1999, Journal of the American College of Surgeons.
[9] Catherine C Roberts,et al. Quality initiatives: developing a radiology quality and safety program: a primer. , 2009, Radiographics : a review publication of the Radiological Society of North America, Inc.