Visualization of mammograms via fusion of enhanced features
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.
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More About This Work
- Academic Units
- Biomedical Engineering
- Published Here
- August 17, 2010
Computer-aided diagnosis in medical imaging : proceedings of the First International Workshop on Computer-Aided Diagnosis, Chicago, U.S.A., 20-23 September 1998 (Amsterdam ; New York : Elsevier, 1999), pp. 287-303.