| References: [1] Hornich, H. (1986). Translated by PC. Parks A Tribute to Johann Radon. IEEE Trans. Med. Imaging. 5 (4) 169-169. DOI: 10.1109/TMI.1986.4307774.
[2] Kaczmarz, S. (1993). Approximate solution of system of linear equations, International Journal of Control, 57 (6) 1269-1271, DOI: 10.1080/00207179308934446.
[3] Kak, A. C., Slaney, M. (1987). Principles of Computed Tomographic Imaging. SIAM, Philadelphia, PA.
[4] Hsieh, J. (2009). Computed Tomography: Principles, Design, Artifacts, and Recent Advances, 2nd ed: SPIE Press, Bellingham, Washington.
[5] Kahn Jr, C. E., Carrino, J. A., Flynn, M. J., Peck, D. J., Horii, S. C. (2007). DICOM and radiology: past, present, and future. Journal of the American College of Radiology. 4 (2) 652-657. DOI 10.1016/j.jacr.2007.06.004
[6] Flanders, A. E., Carrino, J. A. (2003). Understanding DICOM and IHE. Seminars in Roentgenology. Vol 38, p. 270–281.
[7] Rényi, A. (1960). On measures of information and entropy. In Proceedings of the fourth Berkeley Symposium on Mathematics, Statistics and Probability, Berkeley, CA, USA, 20 June–30 July, p. 547–561.
[8] Pipek, J., Varga, I. (1992). Universal classification scheme for the spatial localization properties of one-particle states in finite ddimensional systems, Physical Review A, Volume 46, APS, Ridge NY-Washington DC, p. 3148—3164.
[9] Varga, I., Pipek, J. (2003). Rényi entropies characterizing the shape and the extension of the phase space representation of quantum wave functions in disordered systems, Physical Review E, Vol 68, APS, Ridge NY-Washington DC, 026202.
[10] Nagy, Sz., Sziová, B., Pipek, J. (2019). On Structural Entropy and Spatial Filling Factor Analysis of Colonoscopy Pictures, Entropy, Vol 21 (3), ID: 256, 32 pages.
[11] Molnár, L. M., Nagy, Sz., Mojzes, I. (2010). Structural entropy in detecting background patterns of AFM images, Vacuum, Vol 84, Elsevier, Amsterdam, p. 179-183.
[12] Bonyár, A., Molnár, L. M., Harsányi, G. (2012). Localization factor: a new parameter for the quantitative characterization of surface structure with atomic force microscopy (AFM), MICRON, Vol 43, Elsevier, Amsterdam, p. 305-310.
[13] Bonyár, A. (2016). AFM characterization of the shape of surface structures with localization factor. Micron, 87, 1–9.
[14] Solecki, L., Nagy, Sz. (2016). Wavelet Analysis and Structural Entropy Based Intelligent Classification Method for Combustion Engine Cylinder Surfaces, In: Proceedings of the 8th European Symposium on Computational Intelligence and Mathematics, ESCIM, 5-8th October, Sofia p. 115-120.
[15] Nagy, Sz., Lilik, F., Kóczy, L. T. (2017). Entropy based fuzzy classification and detection aid for colorectal polyps. In: Proceedings of the IEEE Africon, Cape Town, South Africa, 18– 20 September, p. 78–82.
[16] Nagy, Sz., Sziová, B., Kóczy, L. T. (2018). The effect of image feature qualifiers on fuzzy colorectal polyp detection schemes using KH interpolation - towards hierarchical fuzzy classification of coloscopic still images. In: Proceedings of the FuzzIEEE, Rio de Janeiro, Brazil, 8–13 July, p. 1–7.
[17] Nagy, Sz., Sziová, B., Solecki, L. (2019). The effect of background and outlier subtraction on the structural entropy of two-dimensional measured data, under publication at IJRIS.
[18] Lilik, F., Botzheim, J. (2011). Fuzzy based Prequalification Methods for EoSHDSL Technology. Acta. Tech. Jaurinensis, Vol 4, p. 135–144.
[19] Lilik, F., Kóczy, L. T. (2013). Performance Evaluation ofWire Pairs in Telecommunications Networks by Fuzzy and Evolutionary Models. In: Proceedings of the IEEE Africon, Pointe-Aux- Piments, Mauritius, 9–12 September, p. 712–716.
[20] Lilik, F., Nagy, Sz., Kóczy, L.T. (2018). Improved Method for Predicting the Performance of the Physical Links in Telecommunications Access Networks. Complexity, Article ID 3685927.
[21] Mihaylova, A., Georgieva, V. (2018). Spleen segmentation in MRI sequence images using template matching and active contours Procedia Computer Science. Vol 131, p. 15-22.
[22] Georgieva, V., Ermakov, S. (2016). GUI for CT image segmentation via active contours, 2016 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom). |
