Abstract
The overall goal of the research in progress described in this paper is to develop an evidential approach to improved characterization of microcalcifications. Characterization of benign and malignant microcalcifications is very complex and represents a perceptual problem even for an experienced radiologist. Microcalcifications might be very small and the structure of malignant microcalcifications is not much different from that of the benign structures. These perceptual problems result in screening errors which lead either to missed malignant cases or even more often to unnecessary biopsies. All of these factors make the development of an improved automated method for microcalcification characterization a most important and immediate objective.
This research was supported by NIH Cancer Institute under grant No. 1 R41 CA74613-01
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© 1998 Springer Science+Business Media Dordrecht
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Rogova, G.L., Stomper, P.C., Snowden, S., Ke, CC., Swarnakar, V., Hameed, T. (1998). Evidential Approach to Improved Microcalcification Characterization. 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_40
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DOI: https://doi.org/10.1007/978-94-011-5318-8_40
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