Development, investigation, and software implementation of a new mathematical method for automating the analysis of corneal endothelium images

Author:

Gurevich I. B.,Yashina V. V.,Fedorov A. A.,Nedzved’ A. M.,Tleubaev A. T.

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Reference11 articles.

1. G. Dougherty, Digital Image Processing for Medical Applications (Cambridge Univ. Press, New York, 2009).

2. R. C. Gonzalez and R. E. Woods, Digital Image Processing (Prentice-Hall, 2002).

3. I. B. Gurevich and Yu. I. Zhuravlev, “Mathematical and informational aspects of brain research,” Herald Russ. Acad. Sci. 80 (3), 285–293 (2010).

4. I. B. Gurevich, Yu. I. Zhuravlev, A. A. Myagkov, A. Kolacheva, Yu. O. Trusova, V. V. Yashina, T. S. Pronina, and M. V. Ugryumov, “The way to automate image analysis and estimation in brain research: problem definition, mathematical foundations, information technologies,” in Neurodegenerative Diseases: from Genome to the Whole Organism, Ed. by M. V. Ugryumov (Nauchnyi Mir, Moscow, 2014), Vol. 2, pp. 570–618 [in Russian].

5. I. B. Gurevich, A. A. Myagkov, Yu. A. Sidorov, Yu. O. Trusova, and V. V. Yashina, “A new method for automated detection and identification of neurons in microscopic images of brain slices,” Pattern Recogn. Image Anal.: Adv. Math. Theory Appl. 22 (4), 558–569 (2012).

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