Title:

Enhancement via Fusion of Mammographic Features

Author(s):

Koren, Iztok
Laine, Andrew F.
Taylor, Fred

Date:

1998

Type:

Articles

Department:

Biomedical Engineering

Permanent URL:

http://hdl.handle.net/10022/AC:P:9485

Notes:

1998 International Conference on Image Processing : proceedings : ICIP 98 : October 4-7, 1998, Chicago, Illinois, USA, vol. 1 (Los Alamitos, Calif.: IEEE Computer Society, 1998), pp. 722-726.

Abstract:

Image enhancement in mammography is typically concerned with either general visibility of all features or conspicuity of a specific sign of malignancy. We describe a synthesis of the two approaches through fusion of locally enhanced microcalcifications, circumscribed masses, and stellate lesions. Both local processing and image fusion are performed within a single wavelet transform framework which contributes to the computational efficiency of the method. The algorithm not only allows for efficient combination of specific features of importance, but also provides a flexible framework for incorporation of distinct enhancement methods and their independent optimization.

Subject(s):

Biomedical engineering

DOI:

http://dx.doi.org/10.1109/ICIP.1998.723598

Item views:

87

Metadata:

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