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Generalizable transfer learning of automated tumor segmentation from cervical cancers toward a universal model for uterine malignancies in diffusion-weighted MRI

Crossref DOI link: https://doi.org/10.1186/s13244-022-01356-8

Published Online: 2023-01-24

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

Authors

Lin, Yu-Chun

Lin, Yenpo

Huang, Yen-Ling

Ho, Chih-Yi

Chiang, Hsin-Ju

Lu, Hsin-Ying

Wang, Chun-Chieh

Wang, Jiun-Jie

Ng, Shu-Hang

Lai, Chyong-Huey

Lin, Gigin https://orcid.org/0000-0001-7246-1058
Funding

Funding for this research was provided by:

Chang Gung Memorial Hospital (CMRPG3J1631, CMRPG3I0141, CMRPG3L1601, CMRPG3M0731, CLRPG3K0023, CMRPG3M0731, SMRPG3K0053)

Ministry of Science and Technology, Taiwan (MOST 109-2314-B-182A-045, 111-2314-B-182A-041, MOST 111-2628-B-182A-012, MOST 110-2628-B-182A-018)
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Text and Data Mining valid from 2023-01-24

Version of Record valid from 2023-01-24
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Article History

Received: 22 June 2022

Accepted: 4 December 2022

First Online: 24 January 2023

Declarations

:

: Institutional Review Board approval was obtained. Written informed consent was waived by the Institutional Review Board.

: Not applicable.

: The authors declare no competing interests.

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