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Validation of Graph Theoretic Segmentation of the Pectoral Muscle

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 4046)

Abstract

Two graph theoretic methods are used in conjunction with active contours to segment the pectoral muscle in 82 screening mammograms. To validate the method, the boundaries are also marked by four radiologists with different levels of experience in mammography. The simultaneous truth and performance level estimation (STAPLE) method is used to estimate the true boundary and to estimate the sensitivity and specificity of the segmentation schemes. The performance of one of the two algorithms is found not differ significantly from radiologists.

Keywords

  • Minimum Span Tree
  • Active Contour
  • Pectoral Muscle
  • Skin Fold
  • Screen Mammogram

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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© 2006 Springer-Verlag Berlin Heidelberg

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Ma, F., Bajger, M., Slavotinek, J.P., Bottema, M.J. (2006). Validation of Graph Theoretic Segmentation of the Pectoral Muscle. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_86

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  • DOI: https://doi.org/10.1007/11783237_86

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35625-7

  • Online ISBN: 978-3-540-35627-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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