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An Automatic Non-Deforming Technique for Selective Microcalcifications Enhancement

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Book cover Digital Mammography

Part of the book series: Computational Imaging and Vision ((CIVI,volume 13))

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Abstract

Breast cancer is the leading cause of death among middle aged and older women. Microcalcifications are one of the earliest cancer signs, which are an important sign of up to half of occult breast carcinoma.

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References

  1. Chan, H., Vyborny, C. J., MacMahon, H., Metz, C. E., Doi, K., and Sickles, E. A., “Digital mammography: ROC studies of the effects of pixel size and unsharp-mask filtering on the detection of subtle microcalcifications”, Investigative Radiology, Vol. 22, No. 7, pp. 581–589, Jul. 1987.

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  4. Mascio, L.N., Frankel, D., Hernandez, J.M., and Logan, C.M., “Building the LLNL/UCSF digital mammogram library with image groundtruth”, Digital Mammography’96, Ed. Doi, K., Giger, M. L:, Nishikawa, R. M., and Schmidt, R. A.. Excerpta Medica International Congress Series 1119, 1996, pp. 427–430.

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© 1998 Springer Science+Business Media Dordrecht

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Cernadas, E. et al. (1998). An Automatic Non-Deforming Technique for Selective Microcalcifications Enhancement. 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_80

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  • DOI: https://doi.org/10.1007/978-94-011-5318-8_80

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6234-3

  • Online ISBN: 978-94-011-5318-8

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