Title

Analysis of the contribution of scale in mammographic mass classification

Document Type

Conference Proceeding

Publication Date

10-30-1997

Publication Title

Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Publisher

IEEE

Volume

4

First page number:

1609

Last page number:

1612

Abstract

Mammographic masses are often classified according to their shape as round, nodular or stellate. These classifications are useful in the recognition of benign vs. malignant masses. In this preliminary study, a set of 30 mammograms are analyzed. The 2D shape contour of each mass is mapped to a 1D radial distance measure. The discrete wavelet transform is applied to each measure in which a full decomposition is computed. The root-mean-square of the coefficients in each scale is then computed. These values are used as input features in a statistical classification system. The discriminating powers of these features are analyzed via linear discriminant analysis. The classification system utilizes a conventional Euclidean distance measure to determine class membership. The classification rates are 87%, 93% and 80% when using Haar, Daubechies-3 and Daubechies-5 wavelets, respectively

Keywords

Classification--Computer programs; Diagnostic imaging; Image analysis; Image processing; Wavelets (Mathematics)

Disciplines

Bioimaging and Biomedical Optics | Biomedical Engineering and Bioengineering | Electrical and Computer Engineering | Engineering | Systems and Communications

Language

English

Permissions

Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.

Identifier

DOI: http://dx.doi.org/10.1109/IEMBS.1997.757023

UNLV article access

Search your library

Share

COinS