Guliato D., Rangayyan R., Carnielli W., Zuo J., Desautels J.: Segmentation of breast tumors in mammograms by fuzzy region growing, Engineering in Medicine and Biology Society, Proceedings of the 20th Annual International Conference of the IEEE, 1998, vol. 2, pp. 1002-1005.
Haralick R.M., Shanmugam K., Dinstein I.: Textural Features for Image Classification, IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC-3, 1973, No. 6, pp. 610-621.
DOI: https://doi.org/10.1109/TSMC.1973.4309314
Huo Z., Giger M., Vyborny C., Metz C.: Breast cancer: Effectiveness of computer-aided diagnosis – observer study with independent database of mammograms1, Radiology, 2002, vol. 224, no. 2, pp. 560-568.
DOI: https://doi.org/10.1148/radiol.2242010703
Lazarek J., Szczepaniak P.S., Tomczyk A.: Method of Pattern Detection in Mammographic Images, Intelligent Systems in Technical and Medical Diagnosis, Eds. Józef Korbicz, Marek Kowal. Springer, 2014, pp. 235-245.
DOI: https://doi.org/10.1007/978-3-642-39881-0_19
Lyra M., Lyra S., Kostakis B., Drosos S., Georgosopoulus C., Skouroliakou K.: Digital mammography texture analysis by computer assisted image processing, IEEE International Workshop on Imaging Systems and Techniques – IST 2008 Chania, Greece, September 10–12, 2008.
DOI: https://doi.org/10.1109/IST.2008.4659944
Rangayyan R. M., Ayres F. J., Desautels J. L.: A review of computer-aided diagnosis of breast cancer: Toward the detection of subtle signs, Journal of the Franklin Institute, vol. 344, no. 34, 2007 pp. 312-348.
DOI: https://doi.org/10.1016/j.jfranklin.2006.09.003
Sampat M., Markey M., Bovik A.: Computer-aided detection and diagnosis in mammography, Handbook of Image and Video Processing, vol. 2, 2005, pp. 1195-1217.
DOI: https://doi.org/10.1016/B978-012119792-6/50130-3
Szczepaniak P.S.: Obliczenia inteligentne, szybkie przekształcenia i klasyfikatory, Akademica Oficyna Wydawnicza EXIT, Warszawa, 2004.
Szczepaniak P.S., Tadeusiewicz R.: The role of artificial intelligence, knowledge and wisdom in automatic image understanding, Journal of Applied Computer Science – JACS, 18, 2010, No.1, pp. 75-85.
Zhou J., Feng Ch., Liu X., Tang J.: A Texture Features based Medical Image Retrieval System for Breast Cancer, 2012 7th International Conference on Computing and Convergence Technology (ICCCT), IEEE, pp. 1010 – 1015.
„Mias dataset”. http://peipa.essex.ac.uk/info/mias.html. MIAS dataset.