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Identification of Enlargement of the Ventricular System of the Brain Using Machine Learning

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Biomedical Engineering Aims and scope

Deep learning is an actively developing technology of machine learning. Its medical applications are the subject of ever increasing research worldwide. The algorithm for detection of enlargement of the ventricular system of the brain was tested using 200 series of digital MRI brain scan images captured in T2-weighted mode in the axial plane. The obtained digital data were divided into three parts: 1) training set; 2) validation set used to determine when to stop learning and select a model in terms of the best parameter; 3) test set for qualimetric assessment of the model. The accuracy of predicting the deviation from normal (i.e., the enlargement of the ventricular system of the brain) was 97.5%; sensitivity, 96.3%; specificity, 98.1%.

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Authors and Affiliations

  1. Novosibirsk Research Institute of Traumatology and Orthopedics named after Ya.L. Tsivyan, Ministry of Health of the Russian Federation, Novosibirsk, Russia

    S. V. Mishinov & V. V. Stupak

  2. Clinic of Laryngology, Rhinology and Otology, Hannover Medical School (MHH), Hannover, Germany

    A. I. Demyanchuk

  3. NIITO Clinic, Novosibirsk, Russia

    E. V. Pushkina

  4. ZAO Zolotaya Korona, Novosibirsk, Russia

    T. M. Fatykhov

  5. AcademGene LLC, Novosibirsk, Russia

    N. E. Russkikh & D. N. Shtokalo

Authors
  1. S. V. Mishinov
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  2. A. I. Demyanchuk
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  3. E. V. Pushkina
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  4. V. V. Stupak
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  5. T. M. Fatykhov
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  6. N. E. Russkikh
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  7. D. N. Shtokalo
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Correspondence to S. V. Mishinov.

Additional information

Translated from Meditsinskaya Tekhnika, Vol. 55, No. 4, Jul.-Aug., 2021, pp. 52-55.

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Mishinov, S.V., Demyanchuk, A.I., Pushkina, E.V. et al. Identification of Enlargement of the Ventricular System of the Brain Using Machine Learning. Biomed Eng 55, 297–301 (2021). https://doi.org/10.1007/s10527-021-10122-x

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  • DOI: https://doi.org/10.1007/s10527-021-10122-x

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