Abstract
In our countries, breast cancer is the most common cancer amongst women. The only way of reducing mortality is the early detection of this cancer by X-ray mammogram. Among the main signs which are look for in mammograms are microcalcifications, although these are not symptomatic of breast cancer. New parameters will be necessary, for example, the understanding of the 3D shape of the cluster. The aim of our study is to carry out the 3D reconstruction of the cluster of microcalcifications.
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References
Astley S, Hutt I, Miller P, Rose P and Taylor C (1993) Automation in mammography: Computer vision and human perception. PAMI, vol. 7, no. 6, pp 1313–1328.
Maidment ADA, Albert M, Conant EF and Feig SA (1996) 3-D mammary calcification reconstruction from a limited number of views. SPIE Physics of Medical Imaging, vol. 2708.
Gresson R, Taktak R, Wolf D and Stinès J (1995) Automated detection and separation of microcalcifications by multi-scale analysis of the T.H.T. 5th International IMACS-SAS, vol. 18–19, pp 729–732.
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© 1998 Springer Science+Business Media Dordrecht
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Gresson, R., Wolf, D., Stines, J. (1998). 3D Reconstruction of Clusters of Mammary Microcalcifications. In: Karssemeijer, N., Thijssen, M., Hendriks, J., van Erning, L. (eds) Digital Mammography. Computational Imaging and Vision, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5318-8_89
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DOI: https://doi.org/10.1007/978-94-011-5318-8_89
Publisher Name: Springer, Dordrecht
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