Analysis of the contribution of scale in mammographic mass classification
Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Mammographic masses are often classified according to their shape as round, nodular or stellate. These classifications are useful in the recognition of benign vs. malignant masses. In this preliminary study, a set of 30 mammograms are analyzed. The 2D shape contour of each mass is mapped to a 1D radial distance measure. The discrete wavelet transform is applied to each measure in which a full decomposition is computed. The root-mean-square of the coefficients in each scale is then computed. These values are used as input features in a statistical classification system. The discriminating powers of these features are analyzed via linear discriminant analysis. The classification system utilizes a conventional Euclidean distance measure to determine class membership. The classification rates are 87%, 93% and 80% when using Haar, Daubechies-3 and Daubechies-5 wavelets, respectively
Classification--Computer programs; Diagnostic imaging; Image analysis; Image processing; Wavelets (Mathematics)
Bioimaging and Biomedical Optics | Biomedical Engineering and Bioengineering | Electrical and Computer Engineering | Engineering | Systems and Communications
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Bruce, L. M.,
Analysis of the contribution of scale in mammographic mass classification.
Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 4