skip to main content
10.1145/3405758.3405785acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicbbtConference Proceedingsconference-collections
research-article

Development of Information Technology for Selection of Effective Strategy of Diabetic Retinopathy Treatment

Authors Info & Claims
Published:10 July 2020Publication History

ABSTRACT

Diabetic retinopathy is the most dangerous frequent fundus disease. Diabetic retinopathy can result in many serious diseases. For various reasons, patients lose a vision because of untimely or incorrect treatment of diabetic retinopathy. The modern method for the treatment of diabetic retinopathy is laser coagulation. The ophthalmologist decides which zones need to be shelled to reduce edema based on his experience. Laser radiation parameters and distance between laser shots are also selected based on the experience of previous surgeries. However, the accuracy of the selection of these parameters can affect the result of treatment. Achieving high accuracy empirically is a difficult problem. In this work, the technology for selecting an effective laser coagulation strategy is proposed. It based on a genetic algorithm in which individuals are the tasks of heat equations. Technology solves the problem of choosing accurate laser coagulation parameters.

References

  1. Doga, A., Kachalina, G., Pedanova, E., Buryakov, D. 2014. Modern diagnostic and treatment aspects of diabetic macular edema. Ophthalmology, Diabetes. 4, 51--59.Google ScholarGoogle Scholar
  2. Zamytskiy, E. 2017. Analysis of the coagulates intensity in laser treatment of diabetic macular edema in a Navilas robotic laser system. Saratov Journal of Medical Scientific Research. 13(2), 375--378.Google ScholarGoogle Scholar
  3. Ilyasova, N. 2014. Evaluation of geometric features of the spatial structure of blood vessels. Computer Optics. 38(3), 529--538.Google ScholarGoogle ScholarCross RefCross Ref
  4. Khorin, P., Ilyasova, N., Paringer, R. 2018. Informative feature selection based on the Zernike polynomial coefficients for various pathologies of the human eye cornea. Computer Optics. 42(1), 159--166.Google ScholarGoogle ScholarCross RefCross Ref
  5. Astakhov, Y., Shadrichev, F., Krasavina, M., Grigoryeva, N. 2009. Modern approaches to the treatment of a diabetic macular edema. Ophthalmologic sheet. 4, 59--69.Google ScholarGoogle Scholar
  6. Kozak, I., Luttrull, J. 2014. Modern retinal laser therapy. Saudi Journal of Ophthalmology. 29(2), 137--146.Google ScholarGoogle ScholarCross RefCross Ref
  7. Fasano, A., Hömberg, D., Naumov D. 2010. On a mathematical model for laser-induced thermotherapy. Applied Mathematical Modelling. 34, 3831--3840.Google ScholarGoogle ScholarCross RefCross Ref
  8. Jiang, S. C., Zhang, X. X. 2006. Mathematical modeling of dynamic laser coagulation during laser-induced interstitial thermotherapy. Fourth International Conference on Photonics and Imaging in Biology and Medicine, Proceedings. 6047.Google ScholarGoogle ScholarCross RefCross Ref
  9. Shirokanev, A., Kirsh, D., Ilyasova, N., Kupriyanov, A. 2018. Investigation of algorithms for coagulate arrangement in fundus images. Computer Optics. 42(4), 712--721.Google ScholarGoogle ScholarCross RefCross Ref
  10. Ghaheri, A., Shoar, S., Naderan, M., Shahabuddin, S. 2015. The Applications of Genetic Algorithms in Medicine. Oman Medical Journal. 30(6), 406--416.Google ScholarGoogle ScholarCross RefCross Ref
  11. Artemov, S., Belyaev, A., Bushukina, O., Khrushchalina, S., Kostin, S., Lyapin, A., Ryabochkina, P., Taratynova, A. 2019. Endovenous laser coagulation using two-micron laser radiation: mathematical modeling and in vivo experiments. Proceedings of «International Conference on Advanced Laser Technologies (ALT)». 19, 1.Google ScholarGoogle Scholar
  12. Barrachina, S., Castillo, M., Igual, F.D., Mayo, R., Quintana-Orti, E.S. 2008. Evaluation and tuning of the Level 3 CUBLAS for graphics processors. 2008 IEEE International Symposium on Parallel and Distributed Processing, 14-18 April 2008. 8.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Development of Information Technology for Selection of Effective Strategy of Diabetic Retinopathy Treatment

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      ICBBT '20: Proceedings of the 2020 12th International Conference on Bioinformatics and Biomedical Technology
      May 2020
      163 pages
      ISBN:9781450375719
      DOI:10.1145/3405758

      Copyright © 2020 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 10 July 2020

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader