Title :
Detection of stellates and masses in digitised mammograms
Author :
Nguyen, H.T. ; Hung, W.T. ; Thornton, B.S. ; Lee, W. ; Rickard, M. ; Berry, M.W.
Author_Institution :
Key Univ. Res. Strength in Health Technol., Univ. of Technol., Sydney, NSW, Australia
Abstract :
If detected early, breast cancer can be treated with better patient outcomes and significantly lower costs. From recent (1998) retrospective breast cancer studies, in approximately half of missed cases, a minimal sign was already visible on a prior mammogram. Using information technology such as spatial dendrograms (stealth-related technology) and repartment hierarchical identification (successive information peeling), difficult cases of spiculated and stellate tumours can be identified. The techniques are robust to noise and can reveal various layers of biophysical and biomedical differences in a tumour.
Keywords :
cancer; mammography; medical image processing; tumours; biomedical differences; biophysical differences; breast cancer; medical diagnostic imaging; patient outcome; retrospective breast cancer studies; significantly lower costs; spiculated tumours; stealth-related technology; stellate tumours; successive information peeling; Australia; Breast cancer; Brightness; Cancer detection; Costs; Hospitals; Image segmentation; Lesions; Shape; Tumors;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1017342