22 June 2012 Fractal analysis and classification of breast masses using the power spectra of signatures of contours
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Abstract
The contours of benign masses and malignant tumors in mammograms and other types of breast images differ substantially in their shape and complexity; the former are usually round and smooth, whereas the latter are typically spiculated and irregular. We demonstrate the usefulness of fractal analysis via a frequency domain approach applied to one-dimensional signatures of the two-dimensional contours of breast masses in mammograms. The 1/f model related to fractional Brownian motion was applied via power spectral analysis of signatures to estimate the fractal dimension. Experiments with a dataset of 111 contours, including those of 65 benign masses and 46 malignant tumors, indicated a high classification performance of 0.8962 in terms of the area under the receiver-operating characteristic curve. The method should be useful in computer-aided diagnosis of breast cancer.
© 2012 SPIE and IS&T
Rangaraj M. Rangayyan, Rangaraj M. Rangayyan, Faraz Oloumi, Faraz Oloumi, } "Fractal analysis and classification of breast masses using the power spectra of signatures of contours," Journal of Electronic Imaging 21(2), 023018 (22 June 2012). https://doi.org/10.1117/1.JEI.21.2.023018 . Submission:
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