Abstract
The study of mammographic microcalcifications provides useful information for the diagnosis of breast cancer in early stages. In order to develop a computer-aided diagnostc method to assist radiologists in differentiating malignant from benignant clustered microcalcifications in mammograms, this work has focused on the selection of a set of shape-based features for the microcalcification evaluation, and on the research of a statistical predictive model to estimate the probability of malignancy of a mammogram with malignancy suspected microcalcifications1.
This work was supported by the F.I.S. of Spain, Grant No. 96/0037
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© 1998 Springer Science+Business Media Dordrecht
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Español, J. et al. (1998). Microcalcification Evaluation Based on Shape Parameters. 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_79
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DOI: https://doi.org/10.1007/978-94-011-5318-8_79
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