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Enhancement via Fusion of Mammographic Features

Iztok Koren; Andrew F. Laine; Fred Taylor

Title:
Enhancement via Fusion of Mammographic Features
Author(s):
Koren, Iztok
Laine, Andrew F.
Taylor, Fred
Date:
Type:
Articles
Department(s):
Biomedical Engineering
Persistent URL:
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
Publisher DOI:
https://doi.org/10.1109/ICIP.1998.723598
Item views
185
Metadata:
text | xml
Suggested Citation:
Iztok Koren, Andrew F. Laine, Fred Taylor, , Enhancement via Fusion of Mammographic Features, Columbia University Academic Commons, .

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