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Biennial International Conference on Information Processing in Medical Imaging

IPMI 1999: Information Processing in Medical Imaging pp 412–417Cite as

Noise Estimation and Measures for Detection of Clustered Microcalcifications

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1613))

Abstract

Image transforms used to preprocess mammogram images and highly selective microcalcification feature extraction are analyzed in this paper. It is demonstrated that the results obtained by the proposed method (especially at high true positive rates) exceed the specificity levels of other measures for which FROC analysis is provided using the same public (Nijmegen) database.

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References

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Author information

Authors and Affiliations

  1. Analogic and Neural Computing Laboratory, Computer and Automation Institute, Hungarian Academy of Sciences, P.O.B.63, H-1502, Budapest, Hungary

    Márton Csapodi, Ákos Zarándy & Tamás Roska

  2. Department of Diagnostic Radiology, National Institute of Oncology, Kékgolyó u. 13, H-1126, Budapest, Hungary

    Ágota Petrányi & György Liszka

Authors
  1. Márton Csapodi
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  2. Ágota Petrányi
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  3. György Liszka
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  4. Ákos Zarándy
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  5. Tamás Roska
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Editor information

Editors and Affiliations

  1. Department of Applied Informatics, József Attila University, Árpád tér 2., H-6720, Szeged, Hungary

    Attila Kuba

  2. Institute of Nuclear Medicine, Charles University of Prague, Salmovska 3, CZ-120 00, Prague, Czech Republic

    Martin Šáamal

  3. Department of Medical Physics, University College London, Gower Street, London, WC1E 6BT, UK

    Andrew Todd-Pokropek

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© 1999 Springer-Verlag Berlin Heidelberg

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Csapodi, M., Petrányi, Á., Liszka, G., Zarándy, Á., Roska, T. (1999). Noise Estimation and Measures for Detection of Clustered Microcalcifications. In: Kuba, A., Šáamal, M., Todd-Pokropek, A. (eds) Information Processing in Medical Imaging. IPMI 1999. Lecture Notes in Computer Science, vol 1613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48714-X_38

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  • DOI: https://doi.org/10.1007/3-540-48714-X_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66167-2

  • Online ISBN: 978-3-540-48714-2

  • eBook Packages: Springer Book Archive

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