About Us | FAQ | Contact | Advertise  | RSS Feed
Subscribe to this feed
ADVANCE for Imaging & Radiation Oncology RSS Feed
Search
Login | Sign Up

Current Issue

Subscriptions are FREE to qualified imaging and radiation oncology professionals.


References

BACKING UP RADS


Print ArticleEmail Article

References

1. Cancer Facts & Figures, American Cancer Society, 2007.

2. Freer T.W., & Ulissey, M.J. (2001). Screening mammography with computer-aided detection: prospective study of 12,860 patients in a community breast center. Radiology, 220, 781-6.

3. Skaane, P., Kshirsager, A., Stapleton, S., et al. (2007). Effect of computer-aided detection on independent double reading of paired screen-film and full-field digital screening mammograms. Am J Roentgenol, 188, 377-84.

4. Li, H., Giger, M.L., Yuan, Y., et al. (2006). Comparison of computerized image analyses for digitized screen-film mammograms and full-field digital mammography images. Proceedings of the 8th International Workshop on Digital Mammography, Lecture Notes in Computer Science, 4046, 569-75.

5. Huo, Z., Giger, M.L., Vyborny, C.J., et al. (2002). Breast cancer: effectiveness of computer-aided diagnosis observer study with independent database of mammograms. Radiology, 224, 560-8.

6. Hadjiiski, L., Chan, H.P., Sahiner, B., et al. (2004). Improvement in radiologists' characterization of malignant and benign breast masses on serial mammograms with computer-aided diagnosis: an ROC study. Radiology, 233, 255-65.

7. Horsch, K., Giger, M.L., Venta, L.A., et al. (2002). Computerized diagnosis of breast lesions on ultrasound. Medical Physics, 29,157-64.

8. Drukker, K., Giger, M.L., Vyborny, C.J., et al. (2004). Computerized detection and classification of cancer on breast ultrasound. Academic Radiology, 11, 526-35.

9. Sahiner, B., Chan, H.P., Roubidoux et al. (2004). Computerized characterization of breast masses on three-dimensional ultrasound volumes. Medical Physics, 31, 744-54.

10. Drukker, K., Giger, M.L., & Metz, C.E. (2005) Robustness of computerized lesion detection and classification scheme across different breast ultrasound platforms. Radiology, 237, 834-40.

11. Chen, W., Giger, M.L., Bick, U., & Newstead, G. (2006). Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI. Medical Physics, 33, 2878-87.

12. Horsch, K., Giger, M.L., Vyborny, C.J., et al. (2006). Multi-modality computer-aided diagnosis for the classification of breast lesions: observer study results on an independent clinical dataset. Radiology, 240, 357-68.

13. Wolfe, J.N. (1976). Breast patterns as an index of risk for developing breast cancer. Am J Roentgenol, 126, 1130-9.

14. Boyd, N.F., Guo, H., Martin, L., et al. (2007). Mammographic density and the risk and detection of breast cancer. N Eng J Med, 356, 227-36.

15. Byrne, C., Schairer, C., Wolfe, J., et al. (1995). Mammographic features and breast cancer risk: effects with time, age, and menopause status. J Natl Cancer Inst, 87, 1622-9.

16. Huo, Z., Giger, M.L., Olopade, O.I., et al. (2002). Computerized analysis of digitized mammograms of BRCA1 and BRCA2 gene mutation carriers. Radiology, 519-26.

17. Li, H., Giger, M.L., Olopade, O.I., et al. (2005). Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms. Acad Radiol, 12, 863-73.




 

Search Jobs

Zip

Go