Segmentation of mammograms into distinct morphological texture regions Conference Paper

abstract

• This paper presents a comprehensive discussion on the segmentation of mammograms using morphological texture features. These features are derived from morphological granulometries with various structuring elements. Each structuring element captures a specific texture content. The segmentation is carried out in an unsupervised manner by applying the KL transform feature reduction and Voronoi clustering on the extracted morphological texture features. The evaluation of the segmentation outcome by a trained radiologist is provided.

name of conference

• Proceedings. 11th IEEE Symposium on Computer-Based Medical Systems (Cat. No.98CB36237)

authors

• Dougherty, Edward

published proceedings

• 11TH IEEE SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS

author list (cited authors)

• Baeg, S., Popov, A. T., Kamat, V. G., Batman, S., Sivakumar, K., Kehtarnavaz, N., Dougherty, E. R., & Shah, R. B.

citation count

• 8

complete list of authors

• Baeg, S||Popov, AT||Kamat, VG||Batman, S||Sivakumar, K||Kehtarnavaz, N||Dougherty, ER||Shah, RB

publication date

• January 1998

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings / IEEE International Symposium on Computer-Based Medical Systems. IEEE International Symposium on Computer-Based Medical Systems  Journal

keywords

• 40 Engineering
• 4006 Communications Engineering
• 46 Information And Computing Sciences
• Biomedical Imaging

Digital Object Identifier (DOI)

• 10.1109/CBMS.1998.701209

International Standard Book Number (ISBN) 10

• 0-8186-8563-8

start page

• 20

end page

• 25

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fcbms.1998.701209