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[1] W. J. B. j. Rall, "Electrophysiology of a dendritic neuron model," vol. 2, no. 2, pp. 145-167, 1962. [2] D. Johnston, J. C. Magee, C. M. Colbert, and B. R. J. A. r. o. n. Christie, "Active properties of neuronal dendrites," vol. 19, no. 1, pp. 165-186, 1996. [3] N. J. N. R. N. Spruston, "Pyramidal neurons: dendritic structure and synaptic integration," vol. 9, no. 3, pp. 206-221, 2008. [4] A. W. Moore, L. Y. Jan, and Y. N. J. S. Jan, "Hamlet, a binary genetic switch between single-and multiple-dendrite neuron morphology," vol. 297, no. 5585, pp. 1355-1358, 2002. [5] Z. F. Mainen and T. J. J. N. Sejnowski, "Influence of dendritic structure on firing pattern in model neocortical neurons," vol. 382, no. 6589, pp. 363-366, 1996. [6] O. Gökçe, "Channelrhodopsin assisted synapse identity mapping reveals clustering of layer 5 intralaminar inputs," Ludwig-Maximilians-Universität München, 2013. [7] S. F. Sorrells et al., "Human hippocampal neurogenesis drops sharply in children to undetectable levels in adults," vol. 555, no. 7696, pp. 377-381, 2018. [8] M. Boldrini et al., "Human hippocampal neurogenesis persists throughout aging," vol. 22, no. 4, pp. 589-599. e5, 2018. [9] W.-H. Chan and Y.-J. J. T. l. Chang, "Dosage effects of resveratrol on ethanol-induced cell death in the human K562 cell line," vol. 161, no. 1, pp. 1-9, 2006. [10] M. T. Knopp, "Analysis of spine plasticity in CA1 hippocampal pyramidal neurons employing live cell nanoscopic imaging," Ludwig-Maximilians-Universität München, 2014. [11] K. A. Al-Kofahi et al., "Rapid automated three-dimensional tracing of neurons from confocal image stacks," vol. 6, no. 2, pp. 171-187, 2002. [12] Z. Vasilkoski and A. J. J. o. n. m. Stepanyants, "Detection of the optimal neuron traces in confocal microscopy images," vol. 178, no. 1, pp. 197-204, 2009. [13] P. Chothani, V. Mehta, and A. J. N. Stepanyants, "Automated tracing of neurites from light microscopy stacks of images," vol. 9, no. 2-3, pp. 263-278, 2011. [14] M. Nacucchi, F. De Pascalis, M. Scatto, L. Capodieci, and R. Albertoni, "Structural analysis of advanced polymeric foams by means of high resolution X-ray computed tomography," in AIP Conference Proceedings, 2016, vol. 1749, no. 1, p. 020009: AIP Publishing LLC. [15] N. Karmakar, S. Mondal, and A. J. I. S. Biswas, "Determination of 3D curve skeleton of a digital object," vol. 499, pp. 84-101, 2019. [16] R. C. Gonzalez, R. E. Woods, and S. L. Eddins, Digital image processing using MATLAB. Pearson Education India, 2004. [17] A. Perez, R. C. J. I. t. o. p. a. Gonzalez, and m. intelligence, "An iterative thresholding algorithm for image segmentation," no. 6, pp. 742-751, 1987. [18] B. Gayathri and P. Raajan, "A survey of breast cancer detection based on image segmentation techniques," in 2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16), 2016, pp. 1-5: IEEE. [19] Y. J. J. P. r. Zhang, "A survey on evaluation methods for image segmentation," vol. 29, no. 8, pp. 1335-1346, 1996. [20] W. S. McCulloch and W. J. T. b. o. m. b. Pitts, "A logical calculus of the ideas immanent in nervous activity," vol. 5, no. 4, pp. 115-133, 1943. [21] A. G. Ivakhnenko and V. G. Lapa, Cybernetics and forecasting techniques. New York: American Elsevier Pub. Co., 1967. [22] A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks," in Advances in neural information processing systems, 2012, pp. 1097-1105. [23] O. Ronneberger, P. Fischer, and T. Brox, "U-net: Convolutional networks for biomedical image segmentation," in International Conference on Medical image computing and computer-assisted intervention, 2015, pp. 234-241: Springer. [24] A. Khan, A. Sohail, U. Zahoora, and A. S. J. A. I. R. Qureshi, "A survey of the recent architectures of deep convolutional neural networks," pp. 1-62, 2020. [25] M. J. a. p. a. Wang, "Multi-path convolutional neural networks for complex image classification," 2015. [26] K. Song, X. Tan, D. He, J. Lu, T. Qin, and T.-Y. J. a. p. a. Liu, "Double path networks for sequence to sequence learning," 2018. [27] S. Sedlar, "Brain Tumor Segmentation Using a Multi-path CNN Based Method," 2018, pp. 403-422. [28] J. Pawley, Handbook of biological confocal microscopy. Springer Science & Business Media, 2006. [29] R. C. Gonzalez and R. E. Woods, Digital Image Processing. Addison-Wesley Longman Publishing Co., Inc., 2001. [30] N. Tanaka, "Method of smoothing image signals," ed: Google Patents, 1989. [31] P. F. Felzenszwalb and D. P. J. I. j. o. c. v. Huttenlocher, "Efficient graph-based image segmentation," vol. 59, no. 2, pp. 167-181, 2004. [32] E. Nadernejad, S. Sharifzadeh, and H. J. A. M. S. Hassanpour, "Edge detection techniques: evaluations and comparisons," vol. 2, no. 31, pp. 1507-1520, 2008. [33] W. Gao, X. Zhang, L. Yang, and H. Liu, "An improved Sobel edge detection," in 2010 3rd International conference on computer science and information technology, 2010, vol. 5, pp. 67-71: IEEE. [34] O. R. Vincent and O. Folorunso, "A descriptive algorithm for sobel image edge detection," in Proceedings of Informing Science & IT Education Conference (InSITE), 2009, vol. 40, pp. 97-107: Informing Science Institute California. [35] H. J. J. S. r. Heijmans, "Mathematical morphology: A modern approach in image processing based on algebra and geometry," vol. 37, no. 1, pp. 1-36, 1995. [36] H. Guo, N. Ono, and S. Sagayama, "A structure-synthesis image inpainting algorithm based on morphological erosion operation," in 2008 Congress on Image and Signal Processing, 2008, vol. 3, pp. 530-535: IEEE. [37] E. Codaro et al., "An image processing method for morphology characterization and pitting corrosion evaluation," vol. 334, no. 1-2, pp. 298-306, 2002. [38] P. T. Jackway, M. J. I. t. o. p. a. Deriche, and m. intelligence, "Scale-space properties of the multiscale morphological dilation-erosion," vol. 18, no. 1, pp. 38-51, 1996. [39] P. Maragos, R. J. I. T. o. A. Schafer, Speech,, and S. Processing, "Morphological skeleton representation and coding of binary images," vol. 34, no. 5, pp. 1228-1244, 1986. [40] Y. LeCun, L. Bottou, Y. Bengio, and P. J. P. o. t. I. Haffner, "Gradient-based learning applied to document recognition," vol. 86, no. 11, pp. 2278-2324, 1998. [41] M. Havaei et al., "Brain tumor segmentation with deep neural networks," vol. 35, pp. 18-31, 2017. [42] X. Xiao, M. Djurisic, A. Hoogi, R. W. Sapp, C. J. Shatz, and D. L. J. J. o. n. m. Rubin, "Automated dendritic spine detection using convolutional neural networks on maximum intensity projected microscopic volumes," vol. 309, pp. 25-34, 2018.
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