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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 (vol 12, 21438, 2022)
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Shim, Jae-Hyuk | - |
| dc.contributor.author | Kim, Woo Seok | - |
| dc.contributor.author | Kim, Kwang Gi | - |
| dc.contributor.author | Yee, Gi Taek | - |
| dc.contributor.author | Kim, Young Jae | - |
| dc.contributor.author | Jeong, Tae Seok | - |
| dc.date.accessioned | 2024-07-08T08:00:26Z | - |
| dc.date.available | 2024-07-08T08:00:26Z | - |
| dc.date.issued | 2023-02 | - |
| dc.identifier.issn | 2045-2322 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/91916 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | NATURE PORTFOLIO | - |
| dc.title | Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis (vol 12, 21438, 2022) | - |
| dc.type | Article | - |
| dc.identifier.wosid | 001100562500062 | - |
| dc.identifier.doi | 10.1038/s41598-023-29770-y | - |
| dc.identifier.bibliographicCitation | SCIENTIFIC REPORTS, v.13, no.1 | - |
| dc.description.isOpenAccess | Y | - |
| dc.identifier.scopusid | 2-s2.0-85148097983 | - |
| dc.citation.title | SCIENTIFIC REPORTS | - |
| dc.citation.volume | 13 | - |
| dc.citation.number | 1 | - |
| dc.type.docType | Correction | - |
| dc.publisher.location | Germany | - |
| dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
| dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
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Related Researcher
- Yee, Gi Taek
- College of Medicine (Department of Medicine)