DocumentCode :
406607
Title :
Faster image dendrogram creation: an efficient algorithm for the detection of tumours in digital mammography
Author :
Mitchell, R.A. ; Nguyen, H.T. ; Thorton, 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 :
2003
fDate :
17-21 Sept. 2003
Firstpage :
714
Abstract :
Dendronic image analysis has been shown to provide a robust technique in the detection of tumours within digital mammograms. It provides the capability of fully automated image analysis through hierarchical segmentation. However, its general acceptance in image analysis has not been realised due to computational intensity in creating the image dendrogram. We have developed an efficient technique that can create image dendrograms a great deal faster than traditional repetitive segmentation algorithms, making dendronic analysis of digital mammograms a viable tool in the detection of breast cancer.
Keywords :
cancer; diagnostic radiography; image segmentation; mammography; medical image processing; tumours; automated image analysis; breast cancer; dendronic analysis; digital mammography; hierarchical segmentation; image dendrogram creation; tumour detection; Australia; Breast cancer; Cancer detection; Image analysis; Image segmentation; Lesions; Mammography; Pathology; Robustness; Tumors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7789-3
Type :
conf
DOI :
10.1109/IEMBS.2003.1279863
Filename :
1279863
Link To Document :
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