Progress in breast CADx

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Volumn , Issue , 2007, Pages 508-511

  Giger, Maryellen ^a   Yuan, Yading ^a   Li, Hui ^a   Drukker, Karen ^a   Chen, Weijie ^a   Lan, Li ^a   Horsch, Karla ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

Breast cancer; Classification; Computer aided diagnosis; Segmentation

Indexed keywords

BREAST CANCER; IMAGE ACQUISITION SYSTEMS; IMAGE INTERPRETATION; TOMOGRAPHIC IMAGING MODALITIES;

COMPUTER AIDED DIAGNOSIS; IMAGE ACQUISITION; IMAGE CLASSIFICATION; IMAGE QUALITY; IMAGE SEGMENTATION;

MEDICAL IMAGING;

EID: 36348980449     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2007.356900     Document Type: Conference Paper

References (15)

1. Huo, Z., Giger, M.L., Vyborny, C.J., Bick, U., Lu, P., Wolverton, D.E., Schmidt, R.A.: Analysis of spiculation in the computerized classification of mammographic masses. Med. Phys. 22 (1995) 1569-1579
2. Huo, Z., Giger, M.L., Vyborny, C.J., Wolverton, D.E., Schmidt, R.A., Doi, K.: Automated computerized classification of malignant and benign mass lesions on digitized mammograms. Acad. Radiol. 5 (1998) 155-168
3. Kupinski, M.A., Giger, M.L.: Automated seeded lesion segmentation on digital mammograms. IEEE Trans. Med. Imaging 17 (1998) 510-517
4. Yuan, Y., Giger, MX., Suzuki, K., Li, H., Jamieson, A.R.: A two-stage method for lesion segmentation on digital mammograms. Proc. SPIE Med. Imaging Vol. 6144 (2006) 3W1-3W5.
5. Giger ML, Huo Z, Kupinski MA, Vyborny CJ: "Computer-aided diagnosis in mammography", In: Handbook of Medical Imaging, Volume 2. Medical Imaging Processing and Analysis, (Sonka M, Fitzpatrick MJ, eds) SPIE, pp. 915-1004, 2000
6. Huo, Z., Giger, M.L., Vyborny, C.J., Wolverton, D.E., Metz, CE.: Computerized classification of benign and malignant masses on digitized mammograms: a robustness study. Acad. Radiol. 7 (2000) 1077-1084
7. Metz, CE.: ROC methodology in radiologic imaging. Invest. Radiol. 21 (1986) 720-733
8. Horsch K, Giger ML, Venta LA, and Vyborny CJ. Automatic Segmentation of Breast Lesions on Ultrasound. Med Phys, 28:1652-1659, 2001.
9. Horsch K, Giger ML, Venta LA, Vyborny CJ: Computerized diagnosis of breast lesions on ultrasound. Medical Physics 29: 157-164, 2002.
10. Drukker K, Giger ML, Vyborny CJ, Mendelson EB: Computerized detection and classification of cancer on breast ultrasound, Academic Radiology 11: 526-535, 2004.
11. Drukker K, Giger ML, Metz CE: Robustness of computerized lesion detection and classification scheme across different breast ultrasound platforms. Radiology. 237:834-840, 2005
12. Chen W, Giger ML, Bick U: A fuzzy c-menas (FCM) based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images. Academic Radiology.13: 63-72, 2006.
13. Chen W, Giger ML, Bick U, Newstead G. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI. Medical Physics, 33: 2878-2887, 2006.
14. Giger ML, Huo Z, Vyborny CJ, Lan L, Nishikawa RM, Rosenbourgh I: Results of an observer study with an intelligent mammographic workstation for CAD, in Digital Mammography IWDM 2002, Ed. Peitgen, H-O. Springer, Berlin, pp. 297-303, 2003.
15. Horsch K, Giger ML, Vyborny CJ, Lan L, Mendelson EB, Hendrick RE: Multi-modality computer-aided diagnosis for the classification of breast lesions: Observer study results on an independent clinical dataset. Radiology 240: 357-368, 2006.