References

Bovis, K. and S. Singh, 2000. Detection of masses in mammograms using texture features. Proceedings of the 15th International Conference on Pattern Recognition, Volume 2, September 3-7, 2000, Barcelona, pp: 267-270.

Brzakovic, D., X.M. Luo and P. Brzakovic, 1990. An approach to automated detection of tumors in mammograms. IEEE Trans. Med. Imaging, 9: 233-241.
CrossRef  |  

Chan, H.P., D. Wei, M.A. Helvie, B. Sahiner, D.D. Adler, M.M. Goodsitt and N. Petrick, 1995. Computer-aided classification of mammographic masses and normal tissue: Linear discriminant analysis in texture feature space. Phys. Med. Biol., 40: 857-876.
CrossRef  |  PubMed  |  

Christoyianni, I., E. Dermatas and G. Kokkinakis, 2000. Fast detection of masses in computer-aided mammography. Signal Process. Mag., 17: 54-64.
CrossRef  |  

De Paredas, E.S., 1994. Radiographic breast anatomy: Radiologic signs of breast cancer. RSNA Categorical Course Phys., 1: 35-46.

Gargouri, N., A.D. Masmoudi, D.S. Masmoudi and R. Abid, 2012. A new GLLD operator for mass detection in digital mammograms. J. Biom. Imaging, Volume 2012. 10.1155/2012/765649

Kegelmeyer Jr, W.P., J.M. Pruneda, P.D. Bourland, A. Hillis, M.W. Riggs and M.L. Nipper, 1994. Computer-aided mammographic screening for spiculated lesions. Radiology, 191: 331-337.
PubMed  |  

Lai, S.M., X. Li and W.F. Biscof, 1989. On techniques for detecting circumscribed masses in mammograms. IEEE Trans. Med. Imaging, 8: 377-386.
CrossRef  |  

Liao, P.S., B.C. Hsu, C.S. Lo, P.C. Chung and T.S. Chen et al., 1996. Automatic detection of microcalcifications in digital mammograms by entropy thresholding. Proceeding of the 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, October 31-November 3, 1996, Amsterdam, pp: 1075-1076.

Ojala, T., K. Valkealahti, E. Oja and M. Pietikainen, 2001. Texture discrimination with multidimensional distributions of signed gray-level differences. Pattern Recogn., 34: 727-739.
CrossRef  |  

Pal, N.R. and S.K. Pal, 1989. Entropic thresholding. Signal Process., 16: 97-108.
CrossRef  |  

Petrick, N., H.P. Chan, B. Sahiner and D. Wei, 1996. An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection. IEEE Trans. Med. Imag., 15: 59-67.
Direct Link  |  

Pizer, S.M., R.E. Johnston, J.P. Ericksen, B.C. Yankaskas and K.E. Muller, 1990. Contrast-limited adaptive histogram equalization: Speed and effectiveness. Proceedings of the 1st Conference on Visualization in Biomedical Computing, May 22-25, 1990, Atlanta, GA., pp: 337-345.

Sameti, M., R.K. Ward, B. Palcic and J. Morgan-Parkes, 1997. Texture feature extraction for tumor detection in mammographic images. Proceedings of the IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Volume 2, August 20-22, 1997, Victoria, BC., pp: 831-834.

Vyborny, C.J., 1994. Can computers help radiologists read mammograms. Radiology, 191: 315-317.
Direct Link  |  

Wei, D., H.P. Chan, M.A. Helvie, B. Sahiner, N. Petrick, D.D. Adler and M.M. Goodsitt, 1995. Classification of mass and normal breast tissue on digital mammograms: Multiresolution texture analysis. Med. Phys., 22: 1501-1513.
CrossRef  |  

Yin, F.F., M.L. Giger, K. Doi, C.E. Metz, C.J. Vyborny and R.A. Schmidt, 1991. Computerized detection of masses in digital mammograms: Analysis of bilateral subtraction images. Med. Phys., 18: 955-963.
CrossRef  |