Abstract
The presence of distributed micro-calcifications can be an indicator of an early breast cancer. Radiologists use the morphology of individual micro-calcifications, as well as their distribution within breast tissue, as features that characterise the probability of malignancy [1]–[2]. The digital environment has the potential to further increase the radiologist’s accuracy [3]–[5]. Our work has developed a computer aided detection (CAD) scheme that can identify clinically indicative clusters of micro-calcifications.
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Laws Kl, 1980, Texture image segmentation, PhD Thesis, Univ. of Southern California, USA.
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© 1998 Springer Science+Business Media Dordrecht
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Al-Hinnawi, A.R., Undrill, P.E., Needham, G. (1998). The Auto Detection of Cluster Micro-Calcifications in Digital Mammograms Using Texture Energy. 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_81
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DOI: https://doi.org/10.1007/978-94-011-5318-8_81
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