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Diagnostic performance of artificial intelligence for detecting peritoneal and small bowel dissemination in epithelial ovarian cancer using preoperative contrast-enhanced CT imaging

Crossref DOI link: https://doi.org/10.1038/s41598-026-41728-4

Published Online: 2026-03-23

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

Authors

Kim, Ria

Seki, Toshiyuki

Noda, Katsuhiko

Yoshida, Kaname

Yokosu, Kota

Hamada, Rintaro

Habuchi, Erika

Takahashi, Masahiro

Takano, Hirokuni

Okamoto, Aikou
Funding

Funding for this research was provided by:

Department of Obstetrics and Gynecology at the Jikei University School of Medicine

Japan Society for the Promotion of Science (JP80569559)
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Text and Data Mining valid from 2026-03-23

Version of Record valid from 2026-03-23
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Article History

Received: 24 October 2025

Accepted: 23 February 2026

First Online: 23 March 2026

Declarations

:

: The authors declare no competing interests.

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