E. Tuba, M. Tuba, and E. Dolicanin, “Adjusted fireworks algorithm applied to retinal image registration,” Studies in Informatics and Control, vol. 26, no. 1, pp. 33–42, 2017.
 E. Tuba, M. Tuba, and R. Jovanovic, “An algorithm for automated segmentation for bleeding detection in endoscopic images,” in International Joint Conference on Neural Networks (IJCNN). IEEE, 2017, pp. 4579–4586.
 E. Tuba, L. Mrkela, and M. Tuba, “Retinal blood vessel segmentation by support vector machine classification,” in 27th International Conference Radioelektronika. IEEE, 2017, pp. 1–6.
 O. Magud, E. Tuba, and N. Bacanin, “An algorithm for medical ultrasound image enhancement by speckle noise reduction,” International Journal of Signal Processing, vol. 1, pp. 146– 151, 2016.
 E. Tuba, I. Ribic, R. Capor-Hrosik, and M. Tuba, “Support vector machine optimized by elephant herding algorithm for erythemato-squamous diseases detection,” Procedia Computer Science, vol. 122, pp. 916–923, 2017.
 E. F. Badran, E. G. Mahmoud, and N. Hamdy, “An algorithm for detecting brain tumors in MRI images,” in International Conference on Computer Engineering and Systems (ICCES). IEEE, 2010, pp. 368–373.
 H. Sheshadri and M. J. Akshath, “Integration of segmentation techniques to detect cyst in human brain using MRI sequences,” International Conference on Emerging Research in Electronics, Computer Science and Technology, pp. 204– 208, 2015.
 A. Stojak, E. Tuba, and M. Tuba, “Framework for abnormality detection in magnetic resonance brain images,” in 24th Telecommunications Forum TELFOR. IEEE, 2016, pp. 687–690.
 E. Tuba, A. Alihodzic, and M. Tuba, “Multilevel image thresholding using elephant herding optimization algorithm,” in Proceedings of 14th International Conference on the Engineering of Modern Electric Systems (EMES), June 2017, pp. 240–243.
 V. Tuba, M. Beko, and M. Tuba, “Color image segmentation by multilevel thresholding based on harmony search algorithm,” in International Conference on Intelligent Data Engineering and Automated Learning. Springer, 2017, pp. 571– 579.
 M. Tuba, “Asymptotic behavior of the maximum entropy routing in computer networks,” Entropy, vol. 15, no. 1, pp. 361–371, January 2013.
 S. Korolija, E. Tuba, and M. Tuba, “An algorithm for medical magnetic resonance image non-local means denoising,” International Journal of Signal Processing, vol. 1, pp. 138–145, 2016.
 M. Nikolic, E. Tuba, and M. Tuba, “Edge detection in medical ultrasound images using adjusted Canny edge detection algorithm,” in 24th Telecommunications Forum TELFOR. IEEE, 2016, pp. 691–694.
 W. Rong, Z. Li, W. Zhang, and L. Sun, “An improved canny edge detection algorithm,” in IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2014, pp. 577–582.
 C.-X. Deng, G.-B. Wang, and X.-R. Yang, “Image edge detection algorithm based on improved canny operator,” in International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2013, pp. 168–172.
 G. Xin, C. Ke, and H. Xiaoguang, “An improved canny edge detection algorithm for color image,” in 10th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2012, pp. 113–117.
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