Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jin Sung Kim, PhD"'
Autor:
Joonil Hwang, MS, Jaehee Chun, PhD, Seungryong Cho, PhD, Joo-Ho Kim, MS, Min-Seok Cho, MS, Seo Hee Choi, MD, Jin Sung Kim, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 9, Iss 10, Pp 101580- (2024)
Purpose: Herein, we developed a deep learning algorithm to improve the segmentation of the clinical target volume (CTV) on daily cone beam computed tomography (CBCT) scans in breast cancer radiation therapy. By leveraging the Intentional Deep Overfit
Externí odkaz:
https://doaj.org/article/4058f51b951a409395f20db0c98c4872
Autor:
Changhwan Kim PhD, Jihun Kim PhD, Young Kyu Lee PhD, Han-Back Shin PhD, Min Cheol Han PhD, Hojin Kim PhD, Jin Sung Kim PhD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 21 (2022)
Purpose: We aimed to investigate the dose calculation accuracy of Mobius3D for small-field flattening-filter-free x-rays, mainly utilized for stereotactic body radiation therapy (SBRT). The accuracy of beam modeling and multileaf collimator (MLC) mod
Externí odkaz:
https://doaj.org/article/86293e893a794ee99e68dff2ab8dbc33
Autor:
Min Cheol Han PhD, Jihun Kim PhD, Chae-Seon Hong PhD, Kyung Hwan Chang PhD, Su Chul Han PhD, Kwangwoo Park PhD, Dong Wook Kim PhD, Hojin Kim PhD, Jee Suk Chang MD, Jina Kim MD, Sunsuk Kye BS, Ryeong Hwang Park MS, Yoonsun Chung PhD, Jin Sung Kim PhD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 21 (2022)
Purpose: Various deformable image registration (DIR) methods have been used to evaluate organ deformations in 4-dimensional computed tomography (4D CT) images scanned during the respiratory motions of a patient. This study assesses the performance of
Externí odkaz:
https://doaj.org/article/23d1f728ec1446a591480e02ace43614
Autor:
Kyung Hwan Chang PhD, Young Hyun Lee MS, Byung Hun Park MS, Min Cheol Han PhD, Jihun Kim PhD, Hojin Kim PhD, Min-Seok Cho MS, Hyokyeong Kang MS, Ho Lee PhD, Dong Wook Kim PhD, Kwangwoo Park PhD, Jaeho Cho MD, PhD, Yong Bae Kim MD, PhD, Jin Sung Kim PhD, Chae-Seon Hong PhD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 19 (2020)
Purpose: This study aimed to investigate the parameters with a significant impact on delivery quality assurance (DQA) failure and analyze the planning parameters as possible predictors of DQA failure for helical tomotherapy. Methods: In total, 212 pa
Externí odkaz:
https://doaj.org/article/bdda4593f6da4c779b177f8411ec65f0