Abstract
This work proposes a model-based system for anatomic segmentation of mammograms. The system consists of a modeling suite — incorporating knowledge about the breast tissue characteristics, compression effects, and mammogram acquisition process — and an image processing suite — containing operators which capture various tissue characteristics. Once a segmentation task is specified, appropriate operators are invoked, based on the information from the modeling suite. Proposed approach is illustrated on the problem of detection of ductal network.
This work was supported by the NSF voider Grant IRI-9504363 and by the US Army under Grant DAMD17-96-1-6128.
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© 1998 Springer Science+Business Media Dordrecht
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Bakić, P., Brzaković, D., Zhu, Z. (1998). Anatomic Segmentation of Mammograms Via Breast Model. 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_48
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DOI: https://doi.org/10.1007/978-94-011-5318-8_48
Publisher Name: Springer, Dordrecht
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