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

Volume

3

fYear

2001

fDate

2001

Firstpage

2709

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1017342

Filename

1017342