Zobrazeno 1 - 10
of 195
pro vyhledávání: '"Kun Yoon"'
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-8 (2024)
Abstract Background Orthopedic surgeons use manual measurements, acetate templating, and dedicated software to determine the appropriate implant size for total knee arthroplasty (TKA). This study aimed to use deep learning (DL) to assist in deciding
Externí odkaz:
https://doaj.org/article/4a77893e9d384abaa40f0e593fbed716
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Background If reduction images of fractures can be provided in advance with artificial-intelligence (AI)-based technology, it can assist with preoperative surgical planning. Recently, we developed the AI-based preoperative virtual reduction
Externí odkaz:
https://doaj.org/article/1c2dce47f7ab4ddfab391d582bb0a48a
Autor:
Hyeonjoo Kim, Young Dae Jeon, Ki Bong Park, Hayeong Cha, Moo-Sub Kim, Juyeon You, Se-Won Lee, Seung-Han Shin, Yang-Guk Chung, Sung Bin Kang, Won Seuk Jang, Do-Kun Yoon
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Orthopaedic surgeons need to correctly identify bone fragments using 2D/3D CT images before trauma surgery. Advances in deep learning technology provide good insights into trauma surgery over manual diagnosis. This study demonstrates the app
Externí odkaz:
https://doaj.org/article/0b1e8e8f5ab640aaa016d536a740270b
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Pelvic bone fracture is highly complex, and its anatomical reduction is difficult. Therefore, patient-specific customized plates have been developed using three-dimensional (3D) printing technology and are being increasingly used. In this st
Externí odkaz:
https://doaj.org/article/6e967d8126cc4741a210f6e342c10129
Autor:
Young Jae Moon, Tae Young Ahn, Seung Woo Suh, Kun-Bo Park, Sam Yeol Chang, Do-Kun Yoon, Moo-Sub Kim, Hyeonjoo Kim, Yong Dae Jeon, Jae Hyuk Yang
Publikováno v:
Diagnostics, Vol 14, Iss 4, p 394 (2024)
Despite numerous attempts to correct forward head posture (FHP), definitive evidence-based screening and diagnostic methods remain elusive. This study proposes a preliminary diagnostic methodology for FHP, utilizing a noninvasive body angle measureme
Externí odkaz:
https://doaj.org/article/459090684c4e439a8fe5e3044e1308a7
Autor:
Min-Geon Choi, Martin Law, Shin-Kien Djeng, Moo-Sub Kim, Han-Back Shin, Bo-Young Choe, Do-Kun Yoon, Tae Suk Suh
Publikováno v:
Nuclear Engineering and Technology, Vol 54, Iss 8, Pp 3006-3016 (2022)
In this study, the images of specific prompt gamma (PG)-rays of 719 keV emitted from proton–boron reactions were analyzed using single-photon emission computed tomography (SPECT). Quantitative evaluation of the images verified the detection of anat
Externí odkaz:
https://doaj.org/article/10c570d6db5144b3be4720187ecbaafb
Autor:
Young-Dae Jeon, Min-Jun Kang, Sung-Uk Kuh, Ha-Yeong Cha, Moo-Sub Kim, Ju-Yeon You, Hyeon-Joo Kim, Seung-Han Shin, Yang-Guk Chung, Do-Kun Yoon
Publikováno v:
Diagnostics, Vol 14, Iss 1, p 11 (2023)
Utilizing “You only look once” (YOLO) v4 AI offers valuable support in fracture detection and diagnostic decision-making. The purpose of this study was to help doctors to detect and diagnose fractures more accurately and intuitively, with fewer e
Externí odkaz:
https://doaj.org/article/3d7fdcc17f8245b9b205d6207fbd24ce
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/90ad987bec50409c8165de1e527ffac8
Publikováno v:
Nuclear Engineering and Technology, Vol 53, Iss 4, Pp 1318-1322 (2021)
To unveil and delineate the elements applicable to the radiation protection of a femoral entry shield, calculate its mass attenuation coefficient, and demonstrate its dose reduction efficacy for interventional radiologist performing transarterial emb
Externí odkaz:
https://doaj.org/article/6e93e16ec52149159aaa2cbc2cd6d23b
Autor:
Han-Back Shin, Moo-Sub Kim, Martin Law, Shih-Kien Djeng, Min-Geon Choi, Byung Wook Choi, Sungmin Kang, Dong-Wook Kim, Tae Suk Suh, Do-Kun Yoon
Publikováno v:
Nuclear Engineering and Technology, Vol 53, Iss 1, Pp 258-265 (2021)
High levels for noise and a loss of true signal make the quantitative interpretation of nuclear medicine (NM) images difficult. An application of profile optimization using a sigmoidal function in this study was used to acquire the NM images with hig
Externí odkaz:
https://doaj.org/article/cbbe52af27ef49559ed9c9827f65d36c