https://doi.org/10.1140/epjs/s11734-024-01446-2
Regular Article
Leveraging machine learning models for enhanced differentiation of hard-diagnosed lung lesions
1
Saint Petersburg Electrotechnical University “LETI”, Prof. Popova, 5, 197022, Saint-Petersburg, Russia
2
Saint-Petersburg State Research Institute of Phthisiopulmonology, Ligovsky Ave. 2-4, 194064, Saint Petersburg, Russia
3
Centre for Nonlinear Chemistry, Immanuel Kant Baltic Federal University, Nevskogo St. 14, 236041, Kaliningrad, Russia
Received:
5
November
2024
Accepted:
12
December
2024
Published online:
7
January
2025
This article has no abstract.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2024
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
