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)

Shim, Jae-Hyuk; Kim, Woo Seok; Kim, Kwang Gi; Yee, Gi Taek; Kim, Young Jae; Jeong, Tae Seok

Detailed Information

Cited 0 time in webofscience

Cited 0 time in scopus

Metadata Downloads

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)open access

Authors: Shim, Jae-Hyuk; Kim, Woo Seok; Kim, Kwang Gi; Yee, Gi Taek; Kim, Young Jae; Jeong, Tae Seok

Issue Date: Feb-2023

Publisher: NATURE PORTFOLIO

Citation: SCIENTIFIC REPORTS, v.13, no.1

Journal Title: SCIENTIFIC REPORTS

Volume: 13

Number: 1

URI: https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/91916

DOI: 10.1038/s41598-023-29770-y

ISSN: 2045-2322

Files in This Item: There are no files associated with this item.

Appears in Collections: ETC > 1. Journal Articles

Show full item record

qrcode

Related Researcher

Researcher Yee, Gi Taek photo

Yee, Gi Taek: College of Medicine (Department of Medicine)

Read more

Altmetrics

Total Views & Downloads

RSS_1.0 RSS_2.0 ATOM_1.0

1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Related Researcher

Altmetrics

Total Views & Downloads

BROWSE