Effect of case selection on the performance of computer-aided detection schemes

Medical Physics

Volumn 21, Issue 2, 1994, Pages 265-269

  Nishikawa, Robert M ^a   Giger, Maryellen L ^a   Doi, Kunio ^a   Metz, Charles E ^a   Yin, Fang Fang ^a   Vyborny, Carl J ^a   Schmidt, Robert A ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

case selection; computer aided diagnosis; digital radiography; validation

Indexed keywords

DATABASE SYSTEMS; MEDICAL IMAGING;

CASE SELECTIONS; COMPUTER AIDED DETECTION; COMPUTER AIDED DIAGNOSIS(CAD); DIGITAL RADIOGRAPHY; FALSE POSITIVE RATES; MEAN AND STANDARD DEVIATIONS; QUANTITATIVE MEASURES; VALIDATION;

COMPUTER AIDED DIAGNOSIS;

ARTICLE; COMPUTER SYSTEM; DATA BASE; DIAGNOSTIC IMAGING; DIAGNOSTIC VALUE; MAMMOGRAPHY; PATIENT SELECTION; PRIORITY JOURNAL;

EID: 0027983046     PISSN: 00942405     EISSN: NA     Source Type: Journal    
DOI: 10.1118/1.597287     Document Type: Article

References (10)

1. R. S. Acharya and D. B. Goldgof, Editors, “Biomedical Image Processing and Biomedical Visualization,” Proc. SPIE 1905, 442–553 and 690–871 (1993).
2. M. L. Giger, F. F. Yin, K. Doi, C. E. Metz, R. A. Schmidt, and C. J. Vybomy, “Investigation of methods for the computerized detection and analysis of mammographic masses,” Proc. SPIE 1233, 183–184 (1990).
3. F. -F. Yin, M. L. Giger, K. Doi, C. E. Metz, C. J. Vybomy, and R. A. Schmidt, “Computerized detection of masses in digital mammograms: Analysis of bilateral subtraction images,” Med. Phys. 18, 955–963 (1991).
4. F. -F. Yin, M. L. Giger, C. J. Vybomy, K. Doi, and R. A. Schmidt, “Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses,” Invest. Radiol. 28, 473-481 (1993).
5. F. -F. Yin, M. L. Giger, K. Doi, C. J. Vybomy, and R. A. Schmidt, “Computerized detection of masses in digital mammograms: Automated alignment of breast images and its effect on bilateral-subtraction technique,” Med. Phys. (submitted 1992).
6. P. C. Bunch, J. F. Hamilton, G. K. Sanderson, and A. H. Simmons, “A free response approach to the measurement and characterization of radiographic observer performance,” Proc. SPIE 127, 124–135 (1977).
7. S. J. Raudys and A. K. Jain, “Small sample size effects in statistical pattern recognition: Recommendations for practitioners,” IEEE Trans. Pattern Anal. Machine Intell. 13, 252–264 (1991).
8. R. M. Nishikawa, M. L. Giger, K. Doi, C. J. Vybomy, and R. A. Schmidt, “Computer-aided detection of clustered microcalcifications using digital mammograms,” Med. Biol. Engin. Comp. (accepted for publication, 1993).
9. J. A. Swets, D. J. Getty, R. M. Pickett, C. J. D’Orsi, S. E. Seltzer, and B. J. McNeil, “Enhancing and evaluating diagnostic accuracy,” Med. Decis. Making 11, 9–18 (1991).
10. C. Kimme-Smith, S. T. Cochran, and D. J. Roe, “Medical pattern recognition pitfalls in a clinical setting: Renal cell carcinoma survival prediction,” Med. Phys. 15, 401–406 (1988).