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Memory-efficient full-volume inference for large-scale 3D dense prediction without performance degradation

Crossref DOI link: https://doi.org/10.1038/s44172-025-00576-2

Published Online: 2026-01-03

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

Authors

Li, Jintao https://orcid.org/0000-0002-1022-9170
Wu, Xinming https://orcid.org/0000-0002-4910-8253
License Information

Text and Data Mining valid from 2026-01-03

Accepted Manuscript valid from 2026-01-03
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Article History

Received: 22 September 2025

Accepted: 16 December 2025

First Online: 3 January 2026

Competing interests

: The authors declare no competing interests.