Development and Experimental Investigation of Mathematical Methods for Automating the Diagnostics and Analysis of Ophthalmological Images-Reference-Cited by-同舟云学术

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Development and Experimental Investigation of Mathematical Methods for Automating the Diagnostics and Analysis of Ophthalmological Images

Published:2018-10 Issue:4 Volume:28 Page:612-636
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Gurevich I. B.,Yashina V. V.,Ablameyko S. V.,Nedzved A. M.,Ospanov A. M.,Tleubaev A. T.,Fedorov A. A.,Fedoruk N. A.

Publisher

Pleiades Publishing Ltd

Subject

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

Link

http://link.springer.com/content/pdf/10.1134/S1054661818040120.pdf

Reference21 articles.

1. S. Chaudhuri, S. Chatterjee, N. Katz, M. Nelson, and M. Goldbaum, “Detection of blood vessels in retinal images using two–dimensional matched filters,” IEEE Trans. Med. Imaging 8 (3), 263–269 (1989).

2. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd ed. (Prentice–Hall, Upper Saddle River, NJ, 2002).

3. I. B. Gurevich, D. V. Harazishvili, O. Salvetti, A. A. Trykova, and I. A. Vorob’ev, “Elements of the information technology of cytological specimens analysis: Taxonomy and factor analysis,” Pattern Recogn. Image Anal.: Adv. Math. Theory Appl. 16 (1), 113–115 (2016).

4. I. B. Gurevich, V. V. Yashina, A. A. Fedorov, A. M. Nedzved’, and A. M. Ospanov, “Development, investigation, and software implementation of a new mathematical method for automated identification of the lipid layer state by images of eyelid intermarginal space,” Pattern Recogn. Image Anal.: Adv. Math. Theory Appl. 27 (3), 538–549 (2017).

5. I. B. Gurevich, V. V. Yashina, A. A. Fedorov, A. M. Nedzved’, and A. T. Tleubaev, “Development, investigation, and software implementation of a new mathematical method for automating the analysis of corneal endothelium images,” Pattern Recogn. Image Anal.: Adv. Math. Theory Appl. 27 (3), 550–559 (2017).

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