Visualization of mammograms via fusion of enhanced features
- Visualization of mammograms via fusion of enhanced features
- Koren, Iztok
Laine, Andrew F.
Nickoloff, Edward Lee
- Biomedical Engineering
- Persistent URL:
- 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.
- 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.
- Biomedical engineering
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- Suggested Citation:
- Iztok Koren, Andrew F. Laine, Suzanne Smith, Edward Lee Nickoloff, Fred Taylor, 1999, Visualization of mammograms via fusion of enhanced features, Columbia University Academic Commons, http://hdl.handle.net/10022/AC:P:9483.