Using deep learning to predict radiation pneumonitis in patients treated with stereotactic body radiotherapy (SBRT) for pulmonary nodules: preliminary results

Kyu Hye Choi; Yunji Seol; Young‑nam Kang; Young Kyu Lee; Sang Hee Ahn; Jin Ho Song; Byung‑Ock Choi; Yeon‑Sil Kim; HongSeok Jang

doi:10.1007/s40042-022-00543-6

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Using deep learning to predict radiation pneumonitis in patients treated with stereotactic body radiotherapy (SBRT) for pulmonary nodules: preliminary results

Authors: Kyu Hye Choi ; Yunji Seol ; Young‑nam Kang ; Young Kyu Lee ; Sang Hee Ahn ; Jin Ho Song ; Byung‑Ock Choi ; Yeon‑Sil Kim ; HongSeok Jang

Citation: JOURNAL OF THE KOREAN PHYSICAL SOCIETY, Vol.81 : 460-470, 2022-08

Journal Title: JOURNAL OF THE KOREAN PHYSICAL SOCIETY

ISSN: 0374-4884

Issue Date: 2022-08

Full Text: https://link.springer.com/article/10.1007/s40042-022-00543-6

DOI: 10.1007/s40042-022-00543-6

Appears in Collections:: 1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers

URI: https://ir.ymlib.yonsei.ac.kr/handle/22282913/194798

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