Breast Density Classification for Cancer Detection Using DCT-PCA Feature Extraction and Classifier Ensemble

Author:

Haque Md Sarwar Morshedul,Hassan Md Rafiul,BinMakhashen G. M.,Owaidh A. H.,Kamruzzaman Joarder

Publisher

Springer International Publishing

Reference20 articles.

1. NIH: comprehensive cancer information - national cancer institute. http://www.cancer.gov/ . Accessed 12 June 2017

2. Silva, W., Menotti, D.: Classification of mammograms by the breast composition. In: Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), WorldComp, pp. 1–6 (2012)

3. Farag, A., Mashali, S.: DCT based features for the detection of microcalcificationsin digital mammograms. In: 2003 IEEE 46th Midwest Symposium on Circuits and Systems, vol. 1., pp. 352–355. IEEE (2003)

4. Komen, S.G.: Understanding breast cancer. http://ww5.komen.org/BreastCancer/HighBreastDensityonMammogram.htm . Accessed 12 June 2017

5. Chen, W., Er, M.J., Wu, S.: PCA and LDA in DCT domain. Pattern Recogn. Lett. 26(15), 2474–2482 (2005)

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