Coherence of multiscale features for enhancement of digital mammograms.

Mammograms depict most of the significant changes in breast disease. The primary radiographic signs of cancer are related to tumor mass, density, size, borders, and shape, and local distribution of calcifications. We show that each of these features can be well described by coherence and orientation...

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Bibliographic Details
Published in:	IEEE Transactions on information technology in biomedicine 3, 1 (1999).
Main Author:	Chun-Ming Chang
Format:	Article
Language:	English
Subjects:	Aliased perturbation removal. Artifact-free enhancement algorithm. Breast disease. Cancer. Digital mammogram enhancement. Energy information. Fast wavelet transform algorith. Image decomposition. Inverse fast wavelet transform. Lesion identification. Local calcification distribution. Local energy projections. Mammographic feature visualization. Multiscale feature coherence. Nonlinear operation. Orientation measures. Overcomplete multiscale representations. Phase information. Radiographic signs. Separable steerable filters. Transform coefficients. Tumor borders. Tumor density. Tumor mass. Tumor shape. Tumor size. Visual cues.