Mammographic segmentation and risk classification using a novel binary model based bayes classifier

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7361 LNCS, Issue , 2012, Pages 40-47

  He, Wenda ^a   Denton, Erika R E ^b   Zwiggelaar, Reyer ^a  

^a ABERYSTWYTH UNIVERSITY   (United Kingdom)

^b NORFOLK AND NORWICH UNIVERSITY HOSPITAL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BAYES CLASSIFIER; BI-RADS; BINARY MODELS; BREAST DENSITY; BREAST IMAGING; CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; CLINICAL RESEARCH; DATA SYSTEMS; FIBROGLANDULAR TISSUE; GROUND TRUTH; MAMMOGRAPHIC; MAMMOGRAPHIC DENSITY; MAMMOGRAPHIC IMAGE ANALYSIS; QUALITATIVE EVALUATIONS; RISK CLASSIFICATION; SEGMENTATION RESULTS; VISUAL ASSESSMENTS;

CLASSIFIERS; DIAGNOSIS; IMAGE SEGMENTATION; MAMMOGRAPHY;

MEDICAL IMAGING;

EID: 84864841109     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31271-7_6     Document Type: Conference Paper

References (18)

1. Office for National Statistics. Cancer statistics registrations: Registrations of cancer diagnosed in 2007, england. MB1(38) (2010
2. Bray, F., McCarron, P., Parkin, D.M.: The changing global patterns of female breast cancer incidence and mortality. Breast Cancer Research 6(6), 229-239 (2004
3. Tabár, L., Tot, T., Dean, P.B.: Breast Cancer: The Art And Science Of Early Detection With Mamography: Perception, Interpretation, Histopatholigic Correlation, 1st edn., December 16. Georg Thieme Verlag (2004
4. Wolfe, J.N.: Risk for breast cancer development determind by mammographic parenchymal pattern. Cancer 37(5), 2486-2492 (1976
5. Boyd, N.F., Byng, J.W., Jong, R.A., Fishell, E.K., Little, L.E., Miller, A.B., Lockwood, G.A., Tritchler, D.L., Yaffe, M.J.: Quantitative classification of mammographic densities and breast cancer risk: results from the canadian national breast screening study. Journal of the National Cancer Institute 87, 670-675 (1995
6. American College of Radiology. Breast Imaging Reporting and Data System BIRADS, 4th edn. American College of Radiology, Reston (2004
7. Sickles, E.A.: Wolfe mammographic parenchymal patterns and breast cancer risk. American Journal of Roentgenology 188(2), 301-303 (2007
8. Aylward, S.R., Hemminger, B.M., Pisano, E.D.: Mixture modeling for digital mammogram display and analysis. In: The 4th International Workshop on Digital Mammography, pp. 305-312. Kulwer Academic Publishers (1998
9. Ferrari, R.J., Rangayyan, R.M., Borges, R.A., Frère, A.F.: Segmentation of the fibro-glandular disc in mammograms using gaussian mixture modelling. Medical & Biological Engineering & Computing 42(3), 378-387 (2004
10. Selvan, S.E., Xavier, C.C., Karssemeijer, N., Sequeira, J., Cherian, R.A., Dhala, B.Y.: Parameter estimation in stochastic mammogram model by heuristic optimization techniques. IEEE Transactions on Information Technology in Biomedicine, 685-695 (2006
11. Highnam, R., Brady, M.: Mammographic Image Analysis. Kluwer Academic Publishers, London (1999
12. Oliver, A., Freixenet, J., Zwiggelaar, R.: Automatic classification of breast density. In: Proceedings of the 2005 International Conference on Image Processing, vol. 2, pp. 1258-1261 (2005
13. Zwiggelaar, R., Denton, E.R.E.: Mammographic risk assessment and local greylevel appearance histograms. In: 10th International Conference on Information Technology and Applications in Biomedicine, p. 1 (2010
14. Marias, K., Petroudi, S., English, R., Adams, R., Brady, M.: Subjective and computer-based characterisation ofmammographic patterns. In: The 6th International Workshop on Digital Mammography, pp. 552-556 (2002
15. Petroudi, S., Marias, K., English, R., Brady, M.: Classification of mammogram patterns using area measurements and the standard mammogram form (smf). In: Medical Image Analysis and Understanding, pp. 197-200 (2002
16. Petroudi, S., Kadir, T., Brady, M.: Automatic classification of mammographic parenchymal patterns: A statistical approach. In: Engineering in Medicine and Biology Society, vol. 1, pp. 798-801 (2003
17. Oliver, A., Freixenet, J., Marti, R., Pont, J., Perez, E., Denton, E.R.E., Zwiggelaar, R.: A novel breast tissue density classification framework. Information Technology in BioMedicine 12, 55-65 (2008
18. Suckling, J., Parker, J., Dance, D., Astley, S., Hutt, I., Boggis, C., Ricketts, I., Stamatakis, E., Cerneaz, N., Kok, S., Taylor, P., Betal, D., Savage, J.: The mammographic images analysis society digital mammogram database. In: Dance, Gale, Astley, Gairns (eds.) Excerpta Medica. International Congress Series, vol. 1069, pp. 375-378. Elsevier (1994)