An approach to using a generalized breast model to segment digital mammograms

Author

Bakic, P. ; Brzakovic, D. ; Brzakovic, P. ; Zhu, Z.

Author_Institution

Dept. of Comput. Sci. & Electr. Eng., Lehigh Univ., Bethlehem, PA, USA

fYear

1998

fDate

12-14 Jun 1998

Firstpage

84

Lastpage

89

Abstract

Proposes a model-based segmentation system that consists of a modeling suite and an image processing suite. The modeling suite incorporates knowledge about breast tissue characteristics, compression effects and the mammogram acquisition process. Given a specific segmentation task, this information is utilized by the system to invoke proper operators from the image processing suite. This paper discuses the segmentation system in the context of a specific segmentation task involving the identification of fibro-glandular tissue

Keywords

diagnostic radiography; image coding; image segmentation; medical image processing; source coding; breast tissue characteristics; compression effects; digital mammograms; fibro-glandular tissue identification; generalized breast model; image processing suite; mammogram acquisition process; model-based segmentation system; modeling suite; operator invocation; Anatomical structure; Attenuation; Breast tissue; Cancer detection; Computer science; Context modeling; Image coding; Image processing; Image segmentation; Radiography;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 1998. Proceedings. 11th IEEE Symposium on

Conference_Location

Lubbock, TX

ISSN

1063-7125

Print_ISBN

0-8186-8564-6

Type

conf

DOI

10.1109/CBMS.1998.701261

Filename

701261