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Characteristics of the design of systems for the recognition of shapes for the diagnostics of acute leukoses using methods of computer microscopy

  • MEDICAL AND BIOLOGICAL MEASUREMENTS
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Measurement Techniques Aims and scope

Factors influencing the accuracy of image recognition of blast and nonblast blood cells in a decision support system (DSS) are considered. A structure is presented for the requirements for the development of shape recognition systems for the diagnostics of acute leukoses.

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References

  1. I. Vorobiev (ed.), Manual of Hematology, [in Russian], in 3 vols., Vol. 1, Newdiamed, Moscow (2002).

    Google Scholar 

  2. V. G. Nikitaev et al., “Strategy for construction of high-technology complexes of computer microscopy: practice, development, and introduction to the atomic industry and medicine,” Prib. Syst.. Upravl., Kontrol, Diagn., No. 10, 1–4 (2011).

  3. G. I. Kozinets (ed.) et al., Blood Cells and Bone Marrow: An Atlas [in Russian], Med. Inform. Agenstvo, Moscow (2004).

    Google Scholar 

  4. S. A. Lugovskaya et al., Laboratory Hematology [in Russian], Triada, Tver (2006).

    Google Scholar 

  5. V. G. Nikitaev et al., Computer Systems of Hematological Diagnostics. Introduction, Training Manual [in Russian], TsNiiATOMINFORM, Moscow (2006).

    Google Scholar 

  6. V. G. Nikitaev, A. N. Pronichev, and K. S. Chistov, “Method of computerized image analysis of blast cells at diagnostics of acute leucosis,” in: Proc. 12th Int. Workshop, Medicine of XXI Century, Slovakia (2004), pp. 27–28.

  7. V. A. Vlasov et al., “Construction of statistical tests for examination of automated medical systems of analysis of microscopic images,” Prib. Syst.. Upravl., Kontrol, Diagn., No. 4, 46–48 (2008).

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Authors and Affiliations

  1. National Nuclear Research University – Moscow Engineering-Physics Institute (NIYaU MIFI), Moscow, Russia

    V. G. Nikitaev, Yu. R. Nagumanova, A. N. Pronichev & K. S. Chistov

Authors
  1. V. G. Nikitaev
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  2. Yu. R. Nagumanova
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  3. A. N. Pronichev
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  4. K. S. Chistov
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Corresponding author

Correspondence to K. S. Chistov.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 5, pp. 65–68, May, 2012.

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Nikitaev, V.G., Nagumanova, Y.R., Pronichev, A.N. et al. Characteristics of the design of systems for the recognition of shapes for the diagnostics of acute leukoses using methods of computer microscopy. Meas Tech 55, 583–588 (2012). https://doi.org/10.1007/s11018-012-0005-0

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  • DOI: https://doi.org/10.1007/s11018-012-0005-0

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