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
Link To Document :
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