DocumentCode :
429311
Title :
Mammogram object detection using dendronic image analysis
Author :
Mitchell, R.A. ; Nguyen, H.T. ; Thornton, B.S. ; Hung, W.T. ; Lee, W. ; Rickard, M.
Author_Institution :
Key Univ. Res. Centre for Health Technol., Univ. of Technol., Sydney, NSW, Australia
Volume :
1
fYear :
2004
fDate :
1-5 Sept. 2004
Firstpage :
1763
Lastpage :
1765
Abstract :
Breast cancer can be treated with better patient outcomes and significantly lower costs if detected early. Using the spatial dendronic structure, image masks can be obtained, showing regions in the mammogram image corresponding to the breast and lead marker. The technique is robust to noise and placement of the breast within the image. The technique not only reduces the size of the region to be analysed, but also provides the dendronic structure of the breast in which stealth-like masses can be found more easily.
Keywords :
biological organs; cancer; mammography; medical image processing; object detection; breast cancer; dendronic image analysis; image masks; mammogram object detection; stealth-like masses; Australia; Breast cancer; Cancer detection; Costs; Hospitals; Image analysis; Image segmentation; Medical treatment; Noise robustness; Object detection; Mammogram; dendrogram; object detection; shape invariance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
Type :
conf
DOI :
10.1109/IEMBS.2004.1403528
Filename :
1403528
Link To Document :
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