An Identification of handling uncertainties within medical screening: A case study within screening for breast Cancer

Fuzzy and Neuro-Fuzzy Systems in Medicine

Volumn , Issue , 2017, Pages 173-193

  Georgsson, Fredrik ^a   Eklund, Patrik ^a  

^a UMEÅ UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

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EID: 85053942493     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/9780203713419     Document Type: Chapter

References (33)

1. H. Bårman, G. Granlund, and L. Haglund. Feature extraction for computer-aided analysis of mammograms. International Journal of Pattern Recognition and Artificial Intelligence, 7(6): 1339-1356, 1993.
2. L. M. Bruce and R. R. Adhami. Wavelet-based feature extraction for mammographie lesion recognition. In K. M. Hanson, editor, Medical Imaging 1997, Image Processing, volume 3034 of SPIE, Proceeding series. SPIE, 1997.
3. J. W. Byng, N. F. Boyd, E. Fishell, R. A. Jong, and M. J. Yaffe. Automated analysis of mammographie densities. Physics in Medicine and Biology, 41(5): 909 - 923, May 1996.
4. S. Carlson. Personal communication, 1997.
5. J. D. Cox, S. R. Sharma, and R. B. Schilling. Advanced digital mammography. In H. U. Lemke, M. W. Vannier, and K. Inamura, editors, Computer Assisted Radiology and Surgery, International Congress Series 1134. Excerpta Medica, 1997.
6. I. Dinstein, R. M. Haralick, and K. Shanmugam. Textural features for image classification, IEEE Transactions on Systems, Man and Cybernetics, (3): 610-621, 1973.
7. D. L. Dixon and L. M. Dugdale. An introduction to clinical imaging, Churchill Livingstone, 1988.
8. F. Georgsson and P. Eklund. A metric framework for texture measurements. In O. Eriksson, editor, Proceedings of SSAB '98, 1998, 117-120.
9. Gershon, M., and Cohen, A., Atlas of Mammography. Springer-Verlag, Berlin, 1970.
10. M.L. Giger, R. M. Nishikawa, M. Kupinski, U. Bick, M. Zhang, R. A. Schmidt, D. E. Wolverton, C. E. Comstock, J. Papaioannou, S. A. Collins, A. M. Urbas, C. J. Vyborny, and K. Doi. Computerized detection of breast lesions in digitized mammograms and results with clinically implemented intelligent workstation. In H. U. Lemke, M. W. Vannier, and K. Inamura, (editors), Computer Assisted Radiology and Surgery, International Congress Series 1134. Excerpta Medica, 1997.
11. R. C. Gonzales and R. E. Woods. Digital Image Processing, Addison Wesley, 1993.
12. B. R. Groshong and W. P. Kegelmeyer, Jr. Detecting circumscribed lesions with the Hough transform. In M. H. Loew and K.M. Hanson (Editors), Medical Imaging 1996, Image Processing, volume 2710 of SPIE Proceedings Series, pages 59 - 70, 1996.
13. S.-O. Hietala, B. Johansson, and L. Johansson. Nuklearmedicin. Umea University, 1993.
14. M.-K. Hu. Visual pattern recognition by moment invariants. IRE Transactions on Information Theory, 8:179 - 187, 1962.
15. National Cancer Institute. Screening of cancer. Technical report 208/03092, 1996.
16. J. Istas and A. Trubuil. Non-parametric segmentation for star-shaped objects. In The 9th Scandinavian Conference on Image Analysis, Uppsala, Sweden, June1995.
17. B. Jacobson. Medicin och Teknik. Studentlitteratur, 1995.
18. A. K. Jain. Fundamentals of Digital Image Processing. Prentice-Hall International Series, 1989.
19. R. A. Jones, J. Kvaerness, P. A. Rinck, and T. E. Southon. Magnetic Resonance in Medicine. Blackwell Scientific Publications, 1993.
20. C. E. Kahn, Jr., L. M. Roberts, K. A. Shaffer, and P. Haddawy. Construction of a Bayesian Network for Mammographic Diagnosis of Breast Cancer. Comput. Biol. Med., 27:19-29, 1997.
21. A. Karellas. Digital X-ray imaging with emphasis on mammographic applications. Short Course at SPIE Medical Imaging 1997, University of Massachusetts, 1997.
22. S. A. Karkanis. Statistical texture discrimination based on wavelet decomposition, Number 2762 in SPIE Proceeding Series, 1996.
23. B. Kovalerchuk, E. Triantaphyllou, J. F. Ruiz, and J. Clayton. Fuzzy logic in computer-aided breast cancer diagnosis: Analysis of lobulation. Artificial Intelligence in Medicine, (11):75-85. 1997.
24. S.-C. B. Lo, H. Li, J.-S. Lin, A. Hasegawa, O. Tsujii, M. T. Freedman, and S. K. Mun. Detection of clustered micro-calcifications using fuzzy modeling and convolution neural network. In M. H. Loew and K. M. Hanson, (Editors), Medical Imaging 1996, Image Processing, volume 2710 of SPIE Proceedings Series, pages 8-15, 1996.
25. Heart Info Navigation. Coronary artery scanning and coronary disease risk assessment. Technical report, Center for Cardiovascular Education, 1996.
26. T. C. Parr, C. J. Taylor, S. M. Astley, and C. R. M. Boggis. Statistical modeling of oriented line patterns in mammograms. In K. M. Hanson, (Editor), Medical Imaging 1997, Image Processing, volume 3034 of SPIE, Proceedings Series, pages 44 - 55, 1997.
27. C. E. Priebe, J. L. Solka, R. A. Lorey, G. W. Rogers, W. L. Poston, M. Kallergi, W. Qian, L. P. Clarke, and R. A. Clark. The application of fractal analysis to mammographies tissue classification. Cancer Letters, 77(2-3): 183-189, March 1994.
28. T. H. Reiss. Recognizing Planar Objects Using Invariants Image Features. Number 676 in Lecture Notes in Computer Science. Spinger-Verlag, 1993.
29. Mammografiscreening (in Swedish). Allamna rad fran socialstyrelsen. Liber, Stockholm, 1993.
30. I. Soini. Risk factors and selective screening for breast cancer, Acta Universitatis Tamperensis, Ser. A, Vol 88, 1977.
31. N. A. Stillings, S. E. Weisler, C. H. Chase, M. H. Feinstein, J. L. Garfield, and E. L. Rissland. Cognitive Science. An Introduction, The MIT Press, second edition, 1995.
32. L. Tabar. Diagnosis and in-depth differential diagnosis of breast cancer. Uppsala School of Medicine, Uppsala, Sweden, 1991.
33. H. Yoshida, R. N. Nishikawa, M. L. Geiger, K. Doi, and R. A. Schmidt. An improved CAD scheme using wavelet transform for detection of clustered microcalcifications in digital mammograms. Academic Radiology, 3, 1996.