Classification of Breast Tissue Density Patterns Using SVM-Based Hierarchical Classifier

Author:

Virmani Jitendra,Kriti ,Thakur Shruti

Publisher

Springer Singapore

Reference20 articles.

1. Kriti, Virmani, J., Dey, N., Kumar, V.: PCA-PNN and PCA-SVM based CAD systems for breast density classification. In: Hassanien, A.E., et al. (eds.) Applications of Intelligent Optimization in Biology and Medicine, vol. 96, pp. 159–180. Springer (2015)

2. Wolfe, J.N.: Breast patterns as an index of risk for developing breast cancer. Am. J. Roentgenol. 126(6), 1130–1137 (1976)

3. Blot, L., Zwiggelaar, R.: Background texture extraction for the classification of mammographic parenchymal patterns. In: Proceedings of Conference on Medical Image Understanding and Analysis, pp. 145–148 (2001)

4. Bosch, A., Munoz, X., Oliver, A., Marti, J.: Modeling and classifying breast tissue density in mammograms. In: Computer Vision and Pattern Recognition, IEEE Computer Society Conference, 2, pp. 1552–1558. IEEE Press, New York (2006)

5. Muhimmah, I., Zwiggelaar, R.: Mammographic density classification using multiresolution histogram information. In: Proceedings of 5th International IEEE Special Topic Conference on Information Technology in Biomedicine (ITAB), pp. 1–6. IEEE Press, New York (2006)

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