Minimum spanning trees and active contours for identification of the pectoral muscle in screening mammograms

Mariusz Bajger; Fei Ma; Murk J. Bottema

doi:10.1109/DICTA.2005.1578145

Minimum spanning trees and active contours for identification of the pectoral muscle in screening mammograms

Mariusz Bajger^*, Fei Ma, Murk J. Bottema

^*Corresponding author for this work

Flinders University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

13 Citations (Scopus)

Abstract

Image segmentation based on minimum spanning trees (MST) is used to identify the pectoral muscle in screening mammograms. The segmentation found using the MST is used to initialise an active contour for finding an anatomically reasonable estimate of the boundary of the pectoral muscle. The error is reported in terms of the number of incorrectly assigned pixels. Out of 83 images, 25 images have error rates less than 5 percent and 56 images have error rates less than 10 percent. The nature of the errors encountered indicates that the accuracy of computer algorithms for this task is approaching its practical limit.

Original language	English
Title of host publication	Proceedings of the Digital Imaging Computing
Subtitle of host publication	Techniques and Applications, DICTA 2005
Pages	323-329
Number of pages	7
DOIs	https://doi.org/10.1109/DICTA.2005.1578145
Publication status	Published - 2005
Externally published	Yes
Event	Digital Imaging Computing: Techniques and Applications, DICTA 2005 - Cairns, Australia Duration: 6 Dec 2005 → 8 Dec 2005

Publication series

Name	Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005
Volume	2005

Conference

Conference	Digital Imaging Computing: Techniques and Applications, DICTA 2005
Country/Territory	Australia
City	Cairns
Period	6/12/05 → 8/12/05

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10.1109/DICTA.2005.1578145

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Bajger, M., Ma, F., & Bottema, M. J. (2005). Minimum spanning trees and active contours for identification of the pectoral muscle in screening mammograms. In Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005 (pp. 323-329). Article 1578145 (Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005; Vol. 2005). https://doi.org/10.1109/DICTA.2005.1578145

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title = "Minimum spanning trees and active contours for identification of the pectoral muscle in screening mammograms",

abstract = "Image segmentation based on minimum spanning trees (MST) is used to identify the pectoral muscle in screening mammograms. The segmentation found using the MST is used to initialise an active contour for finding an anatomically reasonable estimate of the boundary of the pectoral muscle. The error is reported in terms of the number of incorrectly assigned pixels. Out of 83 images, 25 images have error rates less than 5 percent and 56 images have error rates less than 10 percent. The nature of the errors encountered indicates that the accuracy of computer algorithms for this task is approaching its practical limit.",

author = "Mariusz Bajger and Fei Ma and Bottema, {Murk J.}",

year = "2005",

doi = "10.1109/DICTA.2005.1578145",

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series = "Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005",

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booktitle = "Proceedings of the Digital Imaging Computing",

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Bajger, M, Ma, F & Bottema, MJ 2005, Minimum spanning trees and active contours for identification of the pectoral muscle in screening mammograms. in Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005., 1578145, Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005, vol. 2005, pp. 323-329, Digital Imaging Computing: Techniques and Applications, DICTA 2005, Cairns, Australia, 6/12/05. https://doi.org/10.1109/DICTA.2005.1578145

Minimum spanning trees and active contours for identification of the pectoral muscle in screening mammograms. / Bajger, Mariusz; Ma, Fei; Bottema, Murk J.
Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005. 2005. p. 323-329 1578145 (Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005; Vol. 2005).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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AB - Image segmentation based on minimum spanning trees (MST) is used to identify the pectoral muscle in screening mammograms. The segmentation found using the MST is used to initialise an active contour for finding an anatomically reasonable estimate of the boundary of the pectoral muscle. The error is reported in terms of the number of incorrectly assigned pixels. Out of 83 images, 25 images have error rates less than 5 percent and 56 images have error rates less than 10 percent. The nature of the errors encountered indicates that the accuracy of computer algorithms for this task is approaching its practical limit.

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Bajger M, Ma F, Bottema MJ. Minimum spanning trees and active contours for identification of the pectoral muscle in screening mammograms. In Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005. 2005. p. 323-329. 1578145. (Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005). doi: 10.1109/DICTA.2005.1578145

Minimum spanning trees and active contours for identification of the pectoral muscle in screening mammograms

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