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Kaznacheeva E.I.

General Clinic Laboratory CDL «Invitro-Moscow»

Nazarov A.M.

The Orenburg State Medical University

Malaria case detection using an AI-enabled system in the routine practice of performing clinical blood tests in a centralized laboratory

Authors:

Kaznacheeva E.I., Nazarov A.M.

More about the authors

Journal: Laboratory Service. 2022;11(2): 50‑52

Read: 1054 times


To cite this article:

Kaznacheeva EI, Nazarov AM. Malaria case detection using an AI-enabled system in the routine practice of performing clinical blood tests in a centralized laboratory. Laboratory Service. 2022;11(2):50‑52. (In Russ.)
https://doi.org/10.17116/labs20221102150

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References:

  1. Sozykin AV. Overview of methods for training deep neural networks. Bulletin of SUSU, Series Computational Mathematics and Informatics. 2017;6(3):28-59. (In Russ.). https://doi.org/10.14529/cmse170303
  2. Sosnin DYu, Falkov BF, Nenasheva OYu. Evaluation of the correctness of cell recognition by the Vision Hema automated blood test system. Ural Medical Journal. 2012;13:131-135. (In Russ.).

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