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Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis

Crossref DOI link: https://doi.org/10.1038/s41598-022-23863-w

Published Online: 2022-12-12

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

Authors

Shim, Jae-Hyuk

Kim, Woo Seok

Kim, Kwang Gi

Yee, Gi Taek

Kim, Young Jae

Jeong, Tae Seok
Funding

Funding for this research was provided by:

Gyeonggi-do Regional Research Center (GCU-202205980001)
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Text and Data Mining valid from 2022-12-12

Version of Record valid from 2022-12-12
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Article History

Received: 16 June 2022

Accepted: 7 November 2022

First Online: 12 December 2022

Change Date: 14 February 2023

Change Type: Correction

Change Details: A Correction to this paper has been published:

Change Details: https://doi.org/10.1038/s41598-023-29770-y

Competing interests

: The authors declare no competing interests.

Updates are available Correction dated 2023-02-14

Click to view Correction: https://doi.org/10.1038/s41598-023-29770-y