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. and Chinnaiyan, A. (2006). Molecular markers of prostate cancer, Urologic Oncology   24 (6): 538-551. Cenic, A., Nabavi, D., Craen, R., Gelb, A. and Lee, T.-Y. (2000). A CT method to measure hemodynamics in brain tumors: Validation and application of cerebral blood flow maps, American Journal of Neuroradiology   21 (3): 462-470. Charlesworth, P. and Harris, A. (2006). Mechanisms of disease: Angiogenesis in urologic malignancies, nature clinical practice, Urology   3 (3): 157-169. Daehnert, W., Hamper, U., Eggleston, J., Walsh, P. and Sanders, R. (1986). Prostatic

Press, Cambridge, MA. Sprent, P. and Smeeton, N. (2007). Applied Nonparametric Statistical Methods, Chapman and Hall-CRC, Boca Raton, FL. ´S winiarski, R.W. (2001). Rough sets methods in feature reduction and classification, International Journal of Applied Mathematics and Computer Science 11(3): 565-582. Tan, P.N., Steinbach, M. and Kumar, V. (2006). Introduction to Data Mining, Pearson Education, Boston, MA. Vanderbilt (2002). Data base of prostate cancer, Vanderbilt University, http://discover1.mc.vanderbilt.edu/discover/public/mcsvm. Vert, J. (2007). Kernel

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, G., Doyle, S., Monaco, J., Madabhushi, A., Feldman, M.D., Master, S.R. and Tomaszewski, J.E. (2009). A knowledge representation framework for integration, classification of multi-scale imaging and non-imaging data: Preliminary results in predicting prostate cancer recurrence by fusing mass spectrometry and histology, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA , pp. 77–80. Mitchell, H.B. (2014). Data Fusion: Concepts and Ideas , Springer, Berlin/Heidelberg. Ponti, M. (2011). Combining classifiers: From the

. (2008). Simple Models of Magnetism, Oxford University Press, Oxford. Smereka, M. and Dulèba, I. (2008). Circular object detection using a modified Hough transform, International Journal of Applied Mathematics and Computer Science 18(1): 85-91, DOI: 10.2478/v10006-008-0008-9. ´ Smietański, J., Tadeusiewicz, R. and Łuczyńska, E. (2010). Texture analysis in perfusion images of prostate cancer-A case study, International Journal of Applied Mathematics and Computer Science 20(1): 149-156, DOI: 10.2478/v10006-010-0011-9. Solomon, D. and Nayar, R. (2004). The Bethesda System

., 64 (6), 1165-1168. Mehrotra, R., Kermah, D., Salusky, I., Wolf, M.,Thadhani, R., Chiu, Y. W., Martins, D., Adler, S., Norris, K. (2009). Chronic kidney disease, hypovitaminosis D and the mortality in United States. Kidney Int. , 76 (9), 977-983. Meija, L., Ðitova, A., Zeltîte, R., Erdmane, D., Rafaels, R., Teibe, U., Lietuvietis, V., Lejnieks, A. (2010). Vitamin D intake and deficiency in men at risk of prostate cancer. Eur. Urol. Suppl., 9 (6), 536. Nigwekar, S.,U., Bhan, I., Thadhani, R. (2012). Ergocalciferol and cholecalciferol in CKD. Amer. J. Kidney

Tziritas, G. (2001). Moving object localisation using a multi-label fast marching algorithm, Signal Processing: Image Communication 16(10): 963-976. ´Smieta´nski, J., Tadeusiewicz, R. and Łuczy´nska, E. (2010). Texture analysis in perfusion images of prostate cancer- A case study, International Journal of Applied Mathematics and Computer Science 20(1): 149-156, DOI: 10.2478/v10006-010-0011-9. Steć, P. (2005). Segmentation of Colour Video Sequences Using the Fast Marching Method, University of Zielona Góra Press, Zielona Góra. Tang, X. (1998). Texture information in run