Abstract
Conspicuous features in X-ray mammograms may be hard to detect in early cancer stages and may be missed even by experienced radiologists. In principle, mammograms should be regarded independently of the first evaluation by a second expert. Computer assisted diagnosis can play the role of the second expert in regarding X-ray mammograms. Automatic detection of microcalcifications and masses will support the radiologist to reduce the probability of overlooking subtle tissue features, visualization of the three-dimensional arrangement within clustered microcalcifications will help to discriminate benign and malign cases.
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References
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© 1998 Springer Science+Business Media Dordrecht
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Stotzka, R., Müller, T., Eppler, W., Gemmeke, H. (1998). A Low Cost Computer Assisted Mammography Workstation. 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_94
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DOI: https://doi.org/10.1007/978-94-011-5318-8_94
Publisher Name: Springer, Dordrecht
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