Academic Radiology
Volume 17, Issue 11 , Pages 1401-1408 , November 2010

Computer-Aided Detection: The Effect of Training Databases on Detection of Subtle Breast Masses

Received 12 May 2010 ,Accepted 10 June 2010.

References 

  1. Nishikawa RM, Kallergi M. Computer-aided detection, in its present form, is not an effective aid for screening mammography. Med Phys. 2006;33:811–814
  2. Freer TM, Ulissey MJ. Screening mammography with computer-aided detection: prospective study of 12,860 patients in a community breast center. Radiology. 2001;220:781–786
  3. Gur D, Sumkin JH, Rockette HE, et al. Changes in breast cancer detection and mammography recall rates after the introduction of a computer-aided detection system. J Natl Cancer Inst. 2004;96:185–190
  4. Khoo LA, Taylor P, Given-Wilson RM. Computer-aided detection in the United Kingdom National Breast Screening Programme: prospective study. Radiology. 2005;237:444–449
  5. Morton MJ, Whaley DH, Brandt KR, et al. Screening mammograms: Interpretation with computer-aided detection—prospective evaluation. Radiology. 2006;239:375–383
  6. Fenton JJ, Taplin SH, Carney PA, et al. Influence of computer-aided detection on performance of screening mammography. N Engl J Med. 2007;356:1399–1409
  7. Obenauer S, Sohns C, Werner C, et al. Impact of breast density on computer-aided detection in full-field digital mammography. J Digit Imaging. 2006;19:258–263
  8. Sadaf A, Crystal P, Scaranelo A, et al. Performance of computer-aided detection applied to full-field digital mammography in detection of breast cancers. Eur J Radiol. In press.
  9. Gur D, Stalder JS, Hardesty LA, et al. Computer-aided detection performance in mammographic examination of masses: assessment. Radiology. 2004;223:418–423
  10. Kupinski MA, Giger ML. Feature selection with limited datasets. Med Phys. 1999;26:2176–2182
  11. Chan HP, Sahiner B, Wagner RF, et al. Classifier design for computer-aided diagnosis: effects of finite sample size on the mean performance of classical and neural network classifiers. Med Phys. 1999;26:2654–2668
  12. Sahiner B, Chan HP, Hadjiiski L. Classifier performance prediction for computer-aided diagnosis using a limited dataset. Med Phys. 2008;35:1559–1570
  13. Nishikawa RM, Giger ML, Doi K, et al. Effect of case selection on the performance of computer-aided detection schemes. Med Phys. 1994;21:265–269
  14. Zheng B, Chang YH, Good WF, et al. Adequacy testing of training set sample sizes in the development o f a computer-assisted diagnosis scheme. Acad Radiol. 1997;4:497–502
  15. Park SC, Sulkthankar R, Mummert L, et al. Optimization of reference library used in content-based medical image retrieval scheme. Med Phys. 2007;34:4331–4339
  16. Zheng B, Good WF, Armfield DR, et al. Performance change of a mammographic CAD scheme optimized using most recent and prior image database. Acad Radiol. 2003;10:233–238
  17. Wei J, Chan HP, Sahiner B, et al. Dual system approach to computer-aided detection of breast masses on mammograms. Med Phys. 2006;33:4157–4168
  18. Kundel HL, Revesz G. Lesion conspicuity, structure noise, and film reader error. AJR Am J Roentgenol. 1976;126:1233–1238
  19. Revesz G, Kundel HL. Psychophysical studies of detection errors in chest radiology. Radiology. 1977;123:559–562
  20. Revesz G, Kundel HL, Toto LC. Densitometric measurements of lung nodules on the chest radiographs. Invest Radiol. 1981;16:201–205
  21. Zheng B, Chang YH, Good WF, et al. Performance gain in computer-assisted detection schemes by averaging scores generated from artificial neural networks with adaptive filtering. Med Phys. 2001;28:2302–2308
  22. Zheng B, Chang YH, Gur D. Computerized detection of masses in digitized mammograms using single-image segmentation and a multilayer topographic feature analysis. Acad Radiol. 1995;2:959–966
  23. Mitchell TM. Machine Learning. Boston: WCB/McGraw-Hill; 1997;
  24. Park SC, Pu J, Zheng B. Improving performance of computer-aided detection scheme by combining results from two machine learning classifiers. Acad Radiol. 2009;16:266–274
  25. Zheng B, Lu A, Hardesty LA, et al. A method to improve visual similarity of breast masses for an interactive computer-aided diagnosis environment. Med Phys. 2006;33:111–117
  26. Yoon HJ, Zheng B, Sahiner S, et al. Evaluating computer-aided detection algorithms. Med Phys. 2007;34:2024–2034
  27. The JS, Schilling KJ, Hoffmeister JW, et al. Detection of breast cancer with full-field digital mammography and computer-aided detection. AJR Am J Roentgenol. 2009;192:337–340
  28. Li Q. Reliable evaluation of performance level for computer-aided diagnostic scheme. Acad Radiol. 2007;14:985–991

 This work was supported in part by grants CA77850 and CA101733 to the University of Pittsburgh from the National Cancer Institute, National Institutes of Health (Bethesda, MD).

PII: S1076-6332(10)00317-X

doi: 10.1016/j.acra.2010.06.009

Academic Radiology
Volume 17, Issue 11 , Pages 1401-1408 , November 2010