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Improving interobserver agreement and performance of deep learning models for segmenting acute ischemic stroke by combining DWI with optimized ADC thresholds

Crossref DOI link: https://doi.org/10.1007/s00330-022-08633-6

Published Online: 2022-02-24

Published Print: 2022-08

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

Authors

Juan, Chun-Jung

Lin, Shao-Chieh

Li, Ya-Hui

Chang, Chia-Ching

Jeng, Yi-Hung

Peng, Hsu-Hsia

Huang, Teng-Yi

Chung, Hsiao-Wen

Shen, Wu-Chung

Tsai, Chon-Haw

Chang, Ruey-Feng

Liu, Yi-Jui https://orcid.org/0000-0001-5865-6836
Funding

Funding for this research was provided by:

China Medical University Hsinchu Hospital (CMUHCH-DMR-109-017, CMUHCH-DMR-110-016)

Ministry of Science and Technology, Taiwan (107-2221-E-035 -033 -MY3)
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Text and Data Mining valid from 2022-02-24

Version of Record valid from 2022-02-24
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Article History

Received: 9 November 2021

Revised: 26 December 2021

Accepted: 31 January 2022

First Online: 24 February 2022

Declarations

:

: The scientific guarantor of this publication is C.J.J.

: The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

: One of the authors has significant statistical expertise.

: Written informed consent was waived by the institutional review board.

: Institutional review board approval was obtained.

: • retrospective• diagnostic study• multi-center study

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