A deep learning algorithm for automated measurement of vertebral body compression from X-ray images (vol 11, 13732, 2021)
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seo, Jae Won | - |
dc.contributor.author | Lim, Sang Heon | - |
dc.contributor.author | Jeong, Jin Gyo | - |
dc.contributor.author | Kim, Young Jae | - |
dc.contributor.author | Kim, Kwang Gi | - |
dc.contributor.author | Jeon, Ji Young | - |
dc.date.accessioned | 2022-04-26T03:40:18Z | - |
dc.date.available | 2022-04-26T03:40:18Z | - |
dc.date.created | 2022-04-26 | - |
dc.date.issued | 2022-04 | - |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/84105 | - |
dc.description.abstract | The original version of this Article contained an error in Affiliation 1, which was incorrectly given as ‘Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Seongnam-si 13120, South Korea’. The correct affiliation is listed below. Department of Health Sciences and Technology, GAIHST, Gachon University, Incheon 21999, Korea. Additionally, this Article contained an error in the Acknowledgments section. This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) Grant funded by the Korea Government (MSIT) (No. 2020-0-00161-001, Active Machine Learning based on Open-set training for Surgical Video), and the GRRC program of Gyeonggi province. [GRRCGachon2020( B01), AI-based Medical Image Analysis], and the Gachon Program (GCU-202008440010). now reads: This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) Grant funded by the Korea Government (MSIT) (No. 2020-0-00161-001, Active Machine Learning based on Open-set training for Surgical Video), and the GRRC program of Gyeonggi province. [GRRCGachon2020( B01)], AI-based Medical Image Analysis], and the Gachon Program (GCU-202106290001). The original Article has been corrected. © The Author(s) 2022. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | NATURE PORTFOLIO | - |
dc.relation.isPartOf | SCIENTIFIC REPORTS | - |
dc.title | A deep learning algorithm for automated measurement of vertebral body compression from X-ray images (vol 11, 13732, 2021) | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000778988700037 | - |
dc.identifier.doi | 10.1038/s41598-022-10034-0 | - |
dc.identifier.bibliographicCitation | SCIENTIFIC REPORTS, v.12, no.1 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85127522459 | - |
dc.citation.title | SCIENTIFIC REPORTS | - |
dc.citation.volume | 12 | - |
dc.citation.number | 1 | - |
dc.contributor.affiliatedAuthor | Seo, Jae Won | - |
dc.contributor.affiliatedAuthor | Lim, Sang Heon | - |
dc.contributor.affiliatedAuthor | Jeong, Jin Gyo | - |
dc.contributor.affiliatedAuthor | Kim, Young Jae | - |
dc.contributor.affiliatedAuthor | Kim, Kwang Gi | - |
dc.contributor.affiliatedAuthor | Jeon, Ji Young | - |
dc.type.docType | Correction | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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