Automatic pectoral muscle boundary detection in mammograms based on Markov chain and active contour model
Author:
Publisher
Zhejiang University Press
Subject
General Engineering
Link
http://link.springer.com/content/pdf/10.1631/jzus.C0910025.pdf
Reference14 articles.
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2. Dominguez, A.R., Nandi, A.K., 2007. Improved dynamicprogramming-based algorithms for segmentation of masses in mammograms. Med. Phys., 34(11):4256–4269. [doi:10.1118/1.2791034]
3. Ferrari, R.J., Rangayyan, R.M., Desautels, J.E.L., Borges, R.A., Frere, A.F., 2004. Automatic identification of the pectoral muscle in mammograms. IEEE Trans. Med. Imag., 23(2):232–245. [doi:10.1109/TMI.2003.823062]
4. Glide-Hurst, C.K., Duric, N., Littrup, P., 2007. A new method for quantitative analysis of mammographic density. Med. Phys., 34(11):4491–4498. [doi:10.1118/1.2789407]
5. Hong, B.W., Brady, M., 2003. A Topographic Representation for Mammogram Segmentation. Medical Image Computing and Computer-Assisted Intervention, p.730–737. [doi:10.1007/b93811]
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