Analysis of the effectiveness of using U-net architecture for classification and segmentation of glioma in MRI images | Kiselev | Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering

Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering
Izvestiâ Ûgo-Zapadnogo gosudarstvennogo universiteta. Seriâ Upravlenie, vyčislitelʹnaâ tehnika, informatika. Medicinskoe

ISSN 2223-1536 (Print)

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Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering

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Kiselev A.V., Kuleshova E.A., Tanygin M.O., Deryabin D.R., Khalin I.A. Analysis of the effectiveness of using U-net architecture for classification and segmentation of glioma in MRI images. Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering. 2024;14(3):104-120. (In Russ.) https://doi.org/10.21869/2223-1536-2024-14-3-104-120

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ISSN 2223-1536 (Print)

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About the Authors

A. V. Kiselev
Southwest State University
Russian Federation

Alexey V. Kiselev, Candidate of Sciences (Engineering), Associate Professor of the Department of Computer Engineering

50 Let Oktyabrya Str. 94, Kursk 305040

E. A. Kuleshova
Southwest State University
Russian Federation

Elena A. Kuleshova, Candidate of Sciences (Engineering), Associate Professor of the Department of Information Security

50 Let Oktyabrya Str. 94, Kursk 305040

M. O. Tanygin
Southwest State University
Russian Federation

Maxim O. Tanygin, Doctor of Sciences (Engineering), Associate Professor, Professor of the Department of Information Security

50 Let Oktyabrya Str. 94, Kursk 305040

D. R. Deryabin
Southwest State University
Russian Federation

Denis R. Deryabin, Student of the Department of Computer Engineering

50 Let Oktyabrya Str. 94, Kursk 305040

I. A. Khalin
Southwest State University
Russian Federation

Igor A. Khalin, Post-Graduate Student of the Department of Biomedical Engineering

50 Let Oktyabrya Str. 94, Kursk 305040

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