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Multi-dimensional deep learning–based segmentation and volumetric assessment of sphenoid sinus fluid on postmortem CT in drowning cases

Crossref DOI link: https://doi.org/10.1038/s41598-026-44094-3

Published Online: 2026-03-17

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

Authors

Heo, Jin-Haeng https://orcid.org/0000-0002-3940-8615
Kim, Min-Jae https://orcid.org/0000-0001-9081-2261
Jang, Seon Jung https://orcid.org/0000-0003-3782-9501
Lee, Junghye https://orcid.org/0000-0001-8454-4360
Im, Sang-Beom https://orcid.org/0000-0002-9278-4679
Lee, Sookyoung https://orcid.org/0000-0002-8939-9526
Na, Joo-Young https://orcid.org/0000-0003-1138-433X
Kim, Yeji https://orcid.org/0000-0002-4291-3743
Yoon, Yongsu https://orcid.org/0000-0002-3404-9369
Kwon, Jeong-hwa https://orcid.org/0009-0000-4612-7195
License Information

Text and Data Mining valid from 2026-03-17

Accepted Manuscript valid from 2026-03-17
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Article History

Received: 26 January 2026

Accepted: 9 March 2026

First Online: 17 March 2026

Declarations

:

: The authors declare no competing interests.