Abstract
DBT provides significantly more information than mammography. This offers new opportunities to improve existing microcalcification detection methods. In a companion work in this volume, we showed that the use of epipolar curves can improve both the sensitivity and specificity of microcalcification detection. In this paper, we develop a clustering algorithm to form epipolar curves from candidate microcalcifications (which may be noise points), obtained after applying a detection algorithm to each individual projection. This enables the subsequent 3D analysis for the classification of microcalcification clusters.
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Ho, C.P.S., Tromans, C., Schnabel, J.A., Brady, M.: A clustering method for the extraction of microcalcifications using epipolar curves in digital breast tomosynthesis. In: Proceedings of 10th International Workshop on Digital Mammography (IWDM), Girona, Spain (2010)
Tromans, C., Brady, M.: The Standard Attenuation Rate for Quantitative Mammography. In: Proceedings of 10th International Workshop on Digital Mammography (IWDM), Girona, Spain (2010)
Rick, A., Muller, S., Bothorel, S., Grimaud, M.: Quantitative Modelling of Microcalcification Detection in Digital Mammography. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 32–41. Springer, Heidelberg (1999)
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Ho, C.P.S., Tromans, C.E., Schnabel, J.A., Brady, S.M. (2010). A Clustering Method for the Extraction of Microcalcifications Using Epipolar Curves in Digital Breast Tomosynthesis. In: MartÃ, J., Oliver, A., Freixenet, J., MartÃ, R. (eds) Digital Mammography. IWDM 2010. Lecture Notes in Computer Science, vol 6136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13666-5_92
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DOI: https://doi.org/10.1007/978-3-642-13666-5_92
Publisher Name: Springer, Berlin, Heidelberg
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