Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA060187-03
Application #
2100877
Study Section
Diagnostic Radiology Study Section (RNM)
Project Start
1994-01-01
Project End
1997-12-31
Budget Start
1996-01-01
Budget End
1996-12-31
Support Year
3
Fiscal Year
1996
Total Cost
Indirect Cost
Name
University of Chicago
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
225410919
City
Chicago
State
IL
Country
United States
Zip Code
60637
Jiang, Yulei; Nishikawa, Robert M; Schmidt, Robert A et al. (2006) Comparison of independent double readings and computer-aided diagnosis (CAD) for the diagnosis of breast calcifications. Acad Radiol 13:84-94
Edwards, Darrin C; Metz, Charles E; Nishikawa, Robert M (2005) The hypervolume under the ROC hypersurface of ""near-guessing"" and ""near-perfect"" observers in N-class classification tasks. IEEE Trans Med Imaging 24:293-9
Edwards, Darrin C; Lan, Li; Metz, Charles E et al. (2004) Estimating three-class ideal observer decision variables for computerized detection and classification of mammographic mass lesions. Med Phys 31:81-90
Salfity, Maria F; Nishikawa, Robert M; Jiang, Yulei et al. (2003) The use of a priori information in the detection of mammographic microcalcifications to improve their classification. Med Phys 30:823-31
Edwards, Darrin C; Kupinski, Matthew A; Metz, Charles E et al. (2002) Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model. Med Phys 29:2861-70
El-Naqa, Issam; Yang, Yongyi; Wernick, Miles N et al. (2002) A support vector machine approach for detection of microcalcifications. IEEE Trans Med Imaging 21:1552-63
Jiang, Y; Nishikawa, R M; Schmidt, R A et al. (2001) Potential of computer-aided diagnosis to reduce variability in radiologists' interpretations of mammograms depicting microcalcifications. Radiology 220:787-94
Jiang, Y; Nishikawa, R M; Papaioannou, J (2001) Dependence of computer classification of clustered microcalcifications on the correct detection of microcalcifications. Med Phys 28:1949-57
Doi, K; MacMahon, H; Katsuragawa, S et al. (1999) Computer-aided diagnosis in radiology: potential and pitfalls. Eur J Radiol 31:97-109
Jiang, Y; Nishikawa, R M; Schmidt, R A et al. (1999) Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol 6:22-33

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