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A Low Cost Computer Assisted Mammography Workstation

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Digital Mammography

Part of the book series: Computational Imaging and Vision ((CIVI,volume 13))

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

  1. W. Eppler, T. Fischer, H. Gemmeke, R. Stotzka, and T. Köder. Neural chip SAND/1 for real time pattern classification. In IEEE Real Time’ 97, Beaune, 1997.

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  2. T. Müller, R. Stotzka, A. Hochmuth, W. Eppler, and H. Gemmeke. Volume reconstruction of clustered microcalcifications in mammograms. In International Workshop on Digital Mammography 98, 1998.

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  3. R. Stotzka, T. Müller, W. Eppler, and H. Gemmeke. Three-dimensional reconstruction of clustered microcalcifications from two digitized mammograms. In SPIE’s Internl. Symposium Medical Imaging 1998, 1998.

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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

  • Print ISBN: 978-94-010-6234-3

  • Online ISBN: 978-94-011-5318-8

  • eBook Packages: Springer Book Archive

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