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Journal of Electronic Imaging

Fractal analysis and classification of breast masses using the power spectra of signatures of contours
Author(s): Rangaraj M. Rangayyan; Faraz Oloumi
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Paper 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.

Paper Details

Date Published: 22 June 2012
PDF: 10 pages
J. Electron. Imaging. 21(2) 023018 doi: 10.1117/1.JEI.21.2.023018
Published in: Journal of Electronic Imaging Volume 21, Issue 2
Show Author Affiliations
Rangaraj M. Rangayyan, Univ. of Calgary (Canada)
Faraz Oloumi, Univ. of Calgary (Canada)

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