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Nikitaev, V. G., Davydov, M. I., Nagornov, O. V., Selchuk, V. Y., Pronichev, A. N., Petrovichev, N. N., Zaytsev, S. M., Pavlovskaya, A. I., Polyakov, E. V., Rotin, D. L., Dmitrieva, V. V., Druzhinina, E. A., Korenevskaya, P. Y., & Neskreba, A. K. (2018). System Approach to the Development of Intelligent Complexes of Oncological Diagnostics. KnE Energy, 3(2), 311–316. https://doi.org/10.18502/ken.v3i2.1828

https://doi.org/10.18502/ken.v3i2.1828

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authors

  • V G Nikitaev
    No author data available.
  • M I Davydov
    No author data available.
  • O V Nagornov
    No author data available.
  • V Y Selchuk
    No author data available.
  • A N Pronichev
    No author data available.
  • N N Petrovichev
    No author data available.
  • S M Zaytsev
    No author data available.
  • A I Pavlovskaya
    No author data available.
  • E V Polyakov
    No author data available.
  • D L Rotin
    No author data available.
  • V V Dmitrieva
    No author data available.
  • E A Druzhinina
    No author data available.
  • P Y Korenevskaya
    No author data available.
  • A K Neskreba
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Published Date

  • Apr 17, 2018

System Approach to the Development of Intelligent Complexes of Oncological Diagnostics

KnE Energy / The 2nd International Symposium "Physics, Engineering and Technologies for Biomedicine" / Pages 311–316

Abstract

The system approach to the development of intellectual complexes in cancer diagnosis are discussed in the article. Distinctive features of this approach: the participation of pathologist at the stage of description of recognizable images (the description is based on traditional assessments of quality informative features of tumors); the set of the most similar probabilistic diagnoses is forming on the classification stage of recognition; final histological diagnosis is made by pathologist. The proposed approach has been successfully tested in clinical practice.


Keywords: image processing, image description, image classification, pattern recognition, qualitative attributes of tumor images, interactive recognition, cancer diagnosis, decision support system

References
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[2] V. G. Nikitaev, “Modern measurement principles in intellectual systems for a histological diagnosis of oncological illnesses” Measurement Techniques, vol. 58, no. 4, pp. 467-470, 2015.


[3] V. G. Nikitaev, “Medical and biological measurements: Experimental high-technology information-measuring complexes of cancer diagnosis: Problems and key points of the construction methodology” Measurement Techniques, vol. 58,no. 2, pp. 214-218, 2015.


[4] V. G. Nikitaev, “Methods and means of diagnostics of oncological diseases on the basis of pattern recognition: Intelligent morphological systems - Problems and solutions” Journal of Physics: Conference Series, vol. 798, no. 1, p. 012131, 2017.


[5] M. I. Davydov, V. Y. Selçuk, V. G. Nikitaev, O. V. Nagornov, A. N. Pronichev, V. V. Dmitriev, E. V. Polyakov, A. O. Rasulov, V. P., Kononets, S. A. Melikhov, I. S. Akimov, Z. M. Yunakov, I. V. Kardashev, A. A. Lavrova, V. K. Golovanov, A. A., Pasnik and V. E. Strigin, “Physical research methods in expert systems of oncological disease diagnostics” Bulletin of the Lebedev Physics Institute, vol. 42, no. 8, pp 237-239,2015.


[6] S.M. Zaytsev et al, A method of data structuring in the decision making support system in oncological diagnostics of prostate diseases, Journal of Physics:Conference Series, 798(1), 012132, (2017).


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[9] E. A. Prilepskaya, M.V. Kovylina, A. V. Govorov, A. V. Glotov, A. O. Vasilyev, K. B. Kolontarev, V. G. Nikitaev, A. N. Pronichev and D. Yu. Pushkar, “Possibilities ofautomated image analysis in pathology”, Arkhiv Patologii, vol. 78, no. 1, pp. 51-55,2016.


[10] S. M. Zaytsev, V.G. Nikitaev, A.N. Pronichev, B.N. Onykiy, E.V. Polyakov, A.A. Kurdin, D.Y. Pushkar, E.A. Prilepskaya, M.V. Kovilina, A.V. Govorov, A.V. Glotov, A.O. Vasilyev and K.V. Kolontarev “Computer system for remote consultations in the diagnosis of urological malignancies”, Journal of Physics: Conference Series, vol. 798, no. 1, p.012133, 2017.


[11] S. M. Zaytsev, V.G. Nikitaev, A.N. Pronichev, O.V. Nagornov, E.V. Polyakov, N.A. Romanov, D.Y. Pushkar, E.A. Prilepskaya, M.V. Kovilina, A.V. Govorov, A.V. Glotov, A.O. Vasilyev and K.V.Kolontarev “A method of data structuring in the decisionmaking support system in oncological diagnostics of prostate diseases”, Journal of Physics: Conference Series, vol. 798, no. 1, p. 012132, 2017.


[12] V. G. Nikitaev, A. N. Pronichev, E. V. Polyakov, V. V. Dmitrieva, N. N. Tupitsyn, M. A. Frenkel and A. V. Mozhenkova, “Application of texture analysis methods to computer microscopy in the visible range of electromagnetic radiation” Bulletin of the Lebedev Physics Institute, vol. 43, no. 10, pp 306-308, 2016.