Towards a standard reference database for computer-aided mammography

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6915, Issue , 2008, Pages

  Oliveira, Júlia E E ^a,b   Gueld, Mark O ^a   Araújo, Arnaldo De A ^b   Ott, Bastian ^a   Deserno, Thomas M ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

^b FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

Computer aided diagnosis; Database construction; Ground truth; Mammography

Indexed keywords

COMPUTER AIDED DIAGNOSIS; IMAGE ANALYSIS; IMAGE CODING; IMAGING SYSTEMS; MAMMOGRAPHY; RADIOLOGY; TISSUE;

DATABASE CONSTRUCTION; GROUND TRUTH;

DATABASE SYSTEMS;

EID: 44349090843     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.770325     Document Type: Conference Paper

References (24)

1. Xue F, Michels KB. Intrauterine factors and risk of breast cancer: a systematic review and meta-analysis of current evidence. Lancet Oncol 2007; 8(12): 1088-100.
2. Burhenne LJW, Wood SA, D'Orsi CJ, Feig SA, Kopans DB, Castellino RA. Potential contribution of computer-aided detection to the sensitivity of screening mammography. Radiol 2000; 215: 554-62.
3. Elter M, Schulz- Wendtland R, Wittenberg T. The prediction of breast cancer biopsy outcomes using two CAD approaches that both emphasize an intelligible decision process. Med Phys 2007; 34(11): 4164-72.
4. Zwiggelaar R, Astley SM, Boggis CRM, Taylor CJ. Linear structures in mammographic images: detection and classification, IEEE Trans Med Imaging 2004; 23(9): 1077-86.
5. Christoyianni I, Dermantas E, Kokkinakis G. Automatic detection of abnormal tissue in mammography. Proceedings ICIP 2001; 877-80.
6. Strickland RN, Hahn HI. Wavelet transforms for detecting microcalcifications in mammograms. IEEE Trans Med Imaging 1996; 15(2): 218-29.
7. Arodz T, Kurdziel M, Sevre EOD, Yuen DA. Pattern recognition techniques for automatic detection of suspicious-looking anomalies in mammograms. Comput Programs Biomed 2005; 79: 135-49.
8. Eltonsy NH, Tourassi GD, Elmaghraby AS. A concentric morphology model for the detection of masses in mammography. IEEE Trans Med Imaging 2007; 26(6): 880-89.
9. Elter M, Horsch A, Schulz-Wendtland R, Sittek H, Athelogou M, Schmidt G, Wittenberg T. A modern benchmark case database for the computer-aided diagnosis of breast cancer. Int J Comput Assist Radiol Surg 2007; 2(S1): 514.
10. Lehmann TM, Güld MO, Deselaers T, Key sers D, Schubert H, Spitzer K, Ney H, Wein BB. Automatic categorization of medical images for content-based retrieval and data mining. Comput Med Imaging Graph 2005; 29(2): 143-155.
11. Smeulders AWM, Worring M, Santini S, Gupta A, Jain R. Content-based image retrieval at the end of the early years. IEEE Trans Pattern Anal Mach Intell 2000; 22(12): 1349-80.
12. Müller H, Michoux N, Bandon D, Geissbuhler A. A review of content-based image retrieval systems in medical applications. Clinical benefits and future directions. Int J Med Inform 2004; 73(1): 1-23.
13. Lehmann TM, Güld MO, Thies C, Fischer B, Spitzer K, Keysers D, Ney H, Kohnen M, Schubert H, Wein BB. Content-based image retrieval in medical applications. Methods Inform Med 2004; 43(4): 354-61.
14. Deselaers T, Müller H, Clough P, Ney H, Lehmann TM. The CLEF 2005 automatic medical image annotation task. Intl J Comp Vis 2007; 74(1): 51-8.
15. Müller H, Deselaers T, Desemo TM, Clough P, Kim E, Hersch W. Overview of the ImageCLEFmed 2006 medical retrieval and annotation tasks. Lect Note Comp Sci 2007; 4730: 595-608.
16. Heath M, Bowyer KW, Kopans D, et al. Current status of the digital database for screening mammography. In: Digital Mammography, Kluwer Academic Publishers 1998; 457-60.
17. Suckling J, et al. The Mammographic image analysis society digital mammogram database", Exerpta Medica International Congress Series 1994; 1069: 375-8.
18. Center for Health Care Technologies Livermore. Lawrence Livermore National Library / UCSF Digital Mammogram Database. Livermore, CA, USA.
19. Heinlein P, Drexl J, Schneider W. Integrated wavelets for enhancement of microcalcifications in digital mammography. IEEE Trans Med Imaging 2003; 22(3): 402-13.
20. Gardner D. Breast Cancer database provides faster access to patient record. Grid technology is at the heart of this massive database that holds over a million mammography images. Information Week 2005; Nov 18: article 174400322
21. Lehmann TM, Schubert H, Keysers D, Kohnen M, Wein BB. The IRMA code for unique classification of medical images. Proc SPIE 2003; 5033:440-51.
22. American College of Radiology. Breast Imaging Reporting and Data System (BI-RADS©). Atlas, 2006.
23. Fischer U, Helbich T. ACR BI-RADS: Illustrierte Anleitung zur einheitlichen Erstellung von Mammographie, Mammasonographie, MR Mammographie. Stuttgart: Thieme, 2nd ed, 2006.
24. Deserno TM, Güld MO, Plodowski B, Spitzer K, Wein BB, Schubert H, Ney H, Seidl T. Extended query refinement for medical image retrieval. J Digit Imaging 2008, in press.