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

Bibliographic Details
Main Authors: Jae-Hyuk Shim, Woo Seok Kim, Kwang Gi Kim, Gi Taek Yee, Young Jae Kim, Tae Seok Jeong
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-29770-y
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author Jae-Hyuk Shim
Woo Seok Kim
Kwang Gi Kim
Gi Taek Yee
Young Jae Kim
Tae Seok Jeong
author_facet Jae-Hyuk Shim
Woo Seok Kim
Kwang Gi Kim
Gi Taek Yee
Young Jae Kim
Tae Seok Jeong
author_sort Jae-Hyuk Shim
collection DOAJ
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language English
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publishDate 2023-02-01
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spelling doaj.art-88c2527a36864753b549939568ed5a052023-03-22T11:17:33ZengNature PortfolioScientific Reports2045-23222023-02-011311210.1038/s41598-023-29770-yAuthor Correction: Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosisJae-Hyuk Shim0Woo Seok Kim1Kwang Gi Kim2Gi Taek Yee3Young Jae Kim4Tae Seok Jeong5Department of Biomedical Engineering, Gil Medical Center, Gachon University College of MedicineDepartment of Traumatology, Gil Medical Center, Gachon University College of MedicineDepartment of Biomedical Engineering, Gil Medical Center, Gachon University College of MedicineDepartment of Neurosurgery, Gil Medical Center, Gachon University College of MedicineDepartment of Biomedical Engineering, Gil Medical Center, Gachon University College of MedicineDepartment of Traumatology, Gil Medical Center, Gachon University College of Medicinehttps://doi.org/10.1038/s41598-023-29770-y
spellingShingle Jae-Hyuk Shim
Woo Seok Kim
Kwang Gi Kim
Gi Taek Yee
Young Jae Kim
Tae Seok Jeong
Author Correction: Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis
Scientific Reports
title Author Correction: Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis
title_full Author Correction: Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis
title_fullStr Author Correction: Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis
title_full_unstemmed Author Correction: Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis
title_short Author Correction: Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis
title_sort author correction evaluation of u net models in automated cervical spine and cranial bone segmentation using x ray images for traumatic atlanto occipital dislocation diagnosis
url https://doi.org/10.1038/s41598-023-29770-y
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