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
Warfield, S.K., Zou, K.J., Wells, W.M.: Simultaneous truth and performance level estimation (staple): An algorithm for the validation of image segmentation. IEEE Trans. Med. Imag. 23, 903–921 (2004)
Jolion, J., Montanvert, A.: The adaptive pyramid: A framework for 2d image analysis. Computer Vision, Graphics, and Image Processing 55, 339–348 (1992)
Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient graph-based image segmentation. Int. Jour. Computer Vision 59, 167–181 (2004)
Ma, F., Bajger, M., Bottema, M.J.: Extracting the pectoral muscle in screening mammograms using a graph pyramid. In: Lovel, B.C., Meader, A.J. (eds.) Workshop Proceedings, APRS Workshop on Digital Image Computing (WDIC 2005), pp. 39–42. University of Queensland (2005)
Bajger, M., Ma, F., Bottema, M.J.: Minimum spanning trees and active contours for identification of the pectoral muscle in screening mammograms. In: Lovel, B.C., Meader, A.J., Ourselin, S., Caelli, T. (eds.) Proceedings of Digital Image Computing: Techniques and Technology (DICTA 2005). IEEE, Los Alamitos (2005)
Ferrari, R.J., Rangayyan, R.M., Desautels, J.E.L., Borges, R.A., Frère, A.F.: Automatic identification of the pectoral muscle in mammograms. IEEE Trans. Med. Im. 23, 232–245 (2004)
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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
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