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• [1] Xueyi Shen, Lianne M. Reus, Simon R. Cox, Mark J. Adams, David C. Liewald, Mark E. Bastin, Daniel J. Smith, Ian J. Deary, Heather C. Whalley & Andrew M. McIntosh,”Subcortical volume and white matter integrity abnormalities in major depressive disorder: findings from UK Biobank imaging data”, Scientific Reports 7, Article number: 5547 (2017).[2] https://www.webmd.com/brain/white-matter-disease#1 (10.10.2019).[3] https://www.humanbrainfacts.org/human-brain-diseases-list.php (10.10.2019).[4] McCormick, W. F., & Rosenfield, D. B. (1973), “Massive brain hemorrhage: a review of 144 cases and an examination of their causes”, Stroke, 4(6), 946-954.[5] Lozano, R., Naghavi, M., Foreman, K., Lim, S., Shibuya, K., Aboyans, V., ... & AlMazroa, M. A. (2012), ”Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010”, The lancet, 380(9859), 2095-2128. [6] https://www.medicalpark.com.tr/inme-felc-nedir-belirti-ve-tedavi-yontemleri-nelerdir/hg-1736 (10.10.2019).[7] Smallwood A, Oulhaj A, Joachim C, Christie S, Sloan C, Smith AD, Esiri M., “Cerebral subcortical small vessel disease and its relation to cognition in elderly subjects: a pathological study in the Oxford Project to Investigate Memory and Ageing (OPTIMA) cohort”, Neuropathol Appl Neurobiol. 2012;38:337–343.[8] Hachinski VC, Potter P, Merskey H., “Leuko-araiosis”, Arch Neurol. 1987;44:21–23.[9] Iorio, M., Spalletta, G., Chiapponi, C., Luccichenti, G., Cacciari, C., Orfei, M. D., ... & Piras, F. (2013), “White matter hyperintensities segmentation: a new semi-automated method”, Frontiers in aging neuroscience, 5, 76.[10] Shi, L., Wang, D., Liu, S., Pu, Y., Wang, Y., Chu, W. C., ... & Wang, Y. (2013), ”Automated quantification of white matter lesion in magnetic resonance imaging of patients with acute infarction” , Journal of neuroscience methods, 213(1), 138-146.[11] Anbeek, P.,Vincken,K. L., van Osch,M. J. P., Bisschops, R. H.C.,&van der Grond, J. (2004), “Probabilistic segmentation of white matter lesions in MR imaging”, NeuroImage, 21(3), 1037–44. Doi:10.1016/j.neuroimage.2003.10.012.[12] Herskovits, E. H., Bryan, R. N., & Yang, F. (2008), “Automated Bayesian segmentation of microvascular white-matter lesions in the ACCORD-MIND study”, Advances in Medical Sciences, 53(2), 182–90. doi:10.2478/v10039-008-0039-3.[13] Dyrby, T. B., Rostrup, E., Baaré, W. F. C., van Straaten, E. C. W., Barkhof, F., Vrenken, H., Waldemar, G. (2008), “Segmentation of age-related white matter changes in a clinical multi-center study”, N e u r o I m a g e , 4 1 ( 2 ) , 3 3 5 – 4 5 . d o i : 1 0 . 1 0 1 6 /j.neuroimage.2008.02.024.[14] Ghafoorian, M., Karssemeijer, N., van Uden, I. W., de Leeuw, F. E., Heskes, T., Marchiori, E., & Platel, B. (2016),” Automated detection of white matter hyperintensities of all sizes in cerebral small vessel disease”, Medical physics, 43(12), 6246-6258.[15] Sudharani, K., Sarma, T.C., Prasad, K.S., “Advanced morphological technique for automatic brain tumor detection and evaluation of statistical parameters”, Procedia Technology, 24, 1374–1387, 2016 .[16] Yıldız, G., & Yıldız, D. (2018),”Morfolojik işlemler ve kenar algılama yöntemler vasıtasıyla beyin tümör yeri tespiti ve tümör alan hesabının yapılması” , International Journal of Multidisciplinary Studies and Innovative Technologies, 2(2), 39-42.[17] Khalid, N. E. A., Ibrahim, S., & Haniff, P. N. M. M. (2011),” MRI brain abnormalities segmentation using k-Nearest Neighbors(k-NN),” International Journal on Computer Science and Engineering, 3(2), 980-990.[18] Lao, Z., Shen, D., Liu, D., Jawad, A. F., Melhem, E. R., Launer, L. J.,Davatzikos, C. (2008),” Computer-assisted segmentation of white matter lesions in 3D MR images using support vector machine”, Academic Radiology, 15 (3), 300–13. doi:10.1016/ j.acra.2007.10.012.[19] Gibson, E., Gao, F., Black, S. E., & Lobaugh, N. J. (2010),” Automatic segmentation of white matter hyperintensities in the elderly using FLAIR images at 3T ”, Journal of Magnetic Resonance Imaging, 31(6), 1311-1322.[20] Guerrero, R., Qin, C., Oktay, O., Bowles, C., Chen, L., Joules, R., ... & Rueckert, D. (2018),” White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks”, NeuroImage: Clinical, 17, 918-934.Leite, M., Rittner, L., Appenzeller, S., Ruocco, H. H., & Lotufo, R. A. (2015),” Etiology-based classification of brain white matter hyperintensity on magnetic resonance imaging. Journal of Medical Imaging, 2(1), 014002.[21] Qin, C., Guerrero, R., Bowles, C., Chen, L., Dickie, D. A., Valdes-Hernandez, M. D. C., ... & Rueckert, D. (2018),” A large margin algorithm for automated segmentation of white matter hyperintensity”, Pattern Recognition, 77, 150-159.[22] Myronenko, A. (2018, September), ”3D MRI brain tumor segmentation using autoencoder regularization”, In International MICCAI Brainlesion Workshop (pp. 311-320). Springer, Cham.[23] Arı, Ali, and Davut Hanbay, "Tumor detection in MR images of regional convolutional neural networks", Journal of the Faculty of Engineering and Architecture of Gazi University 34, no. 3 (2019): 1395-1408.[24] Wang, X., Ma, H., & Chen, X. (2016, September),” Salient object detection via fast R-CNN and low-level cues”, IEEE International Conference on Image Processing (ICIP) (pp. 1042-1046). IEEE.[25] Zhang, X., An, G., & Liu, Y. (2018, August),” Mask R-CNN with feature pyramid attention for instance segmentation”, 14th IEEE International Conference on Signal Processing (ICSP)(pp. 1194-1197). IEEE.[26] Liu, M., Dong, J., Dong, X., Yu, H., & Qi, L. (2018, September),” Segmentation of lung nodule in CT images based on mask R-CNN”, 9th International Conference on Awareness Science and Technology (iCAST) (pp. 1-6). IEEE.