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Artificial intelligence in oncourology: integrated deep learning technologies in the tasks of segmentation of three-dimensional images of kidney tumors

Crossref DOI link: https://doi.org/10.1007/s11018-025-02406-5

Published Online: 2025-04-28

Published Print: 2025-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Nikitaev, V. G. https://orcid.org/0000-0002-4349-3023
Pushkar, D. Yu. https://orcid.org/0000-0002-6096-5723
Matveev, V. B. https://orcid.org/0000-0001-7748-9527
Pronichev, A. N. https://orcid.org/0000-0003-0443-8504
Nagornov, O. V. https://orcid.org/0000-0003-1355-788X
Otchenashenko, A. I. https://orcid.org/0000-0001-8693-5357
Kleyman, A. I. https://orcid.org/0009-0001-0509-6748
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Text and Data Mining valid from 2025-02-01

Version of Record valid from 2025-02-01
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Article History

Received: 17 October 2024

Revised: 25 November 2024

Accepted: 25 November 2024

First Online: 28 April 2025

Conflict of interest

: The authors declare that they have no potential conflict of interest in relation to the study presented in this article.

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