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DOI: 10.24075/brsmu.2025.060
Copyright: © 2025 by the authors. Licensee: Pirogov University.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (CC BY).

ORIGINAL RESEARCH

Development of the vascular condition classifier using supervised machine learning methods

Besedovskaia ZV1,2 , Korobov AY3 , Kudriashova NI4
About authors

1 Vladimir Zelman Center for Neurobiology and Neurorehabilitation Skolkovo Institute of Science and Technology, Moscow

2 Artificial Intelligence Center Skolkovo Institute of Science and Technology, Moscow

3 Center for Photonics and Photonic Technologies Skolkovo Institute of Science and Technology, Moscow

4 Center for Molecular and Cellular Biology Skolkovo Institute of Science and Technology, Moscow

Correspondence should be addressed: Zlata Besedovskaia
Bolshoy Bulvar, 30, Building 1, Moscow, 121205; moc.liamg@dlogantari

About paper

Acknowledgments: All authors of this article express their gratitude to the authors of article [15] for providing the open data used in this study.

Author contribution: Z. Besedovskaya — development of the pipeline and clustering tools, image preparation for publication, and draft publication. A. Korobov — creation and integration of new vessel segment features into the pipeline and draft publication. N. Kudryashova — medical conceptualization and validation of the vessel segment features and draft publication. All authors contributed equally to this study.

Received: 2025-10-07 Accepted: 2025-11-10 Published online: 2025-11-27
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