DocumentCode
3166876
Title
Minimum Spanning Trees and Active Contours for Identification of the Pectoral Muscle in Screening Mammograms
Author
Bajger, Mariusz ; Ma, Fei ; Bottema, Murk J.
Author_Institution
Flinders University
fYear
205
fDate
6-8 Dec. 205
Firstpage
47
Lastpage
47
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 in-correctly 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.
Keywords
Active contours; Australia; Breast; Computer errors; Error analysis; Graph theory; Image segmentation; Informatics; Muscles; X-ray imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Image Computing: Techniques and Applications, 2005. DICTA '05. Proceedings 2005
Conference_Location
Queensland, Australia
Print_ISBN
0-7695-2467-2
Type
conf
DOI
10.1109/DICTA.2005.55
Filename
1587649
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