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

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dc.date.accessioned2023-06-02T01:18:08Z-
dc.date.available2023-06-02T01:18:08Z-
dc.date.issued2022-08-
dc.identifier.issn0374-4884-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/194798-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherKorean Physical Society-
dc.relation.isPartOfJOURNAL OF THE KOREAN PHYSICAL SOCIETY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleUsing deep learning to predict radiation pneumonitis in patients treated with stereotactic body radiotherapy (SBRT) for pulmonary nodules: preliminary results-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiation Oncology (방사선종양학교실)-
dc.contributor.googleauthorKyu Hye Choi-
dc.contributor.googleauthorYunji Seol-
dc.contributor.googleauthorYoung‑nam Kang-
dc.contributor.googleauthorYoung Kyu Lee-
dc.contributor.googleauthorSang Hee Ahn-
dc.contributor.googleauthorJin Ho Song-
dc.contributor.googleauthorByung‑Ock Choi-
dc.contributor.googleauthorYeon‑Sil Kim-
dc.contributor.googleauthorHongSeok Jang-
dc.identifier.doi10.1007/s40042-022-00543-6-
dc.relation.journalcodeJ02927-
dc.identifier.urlhttps://link.springer.com/article/10.1007/s40042-022-00543-6-
dc.citation.volume81-
dc.citation.startPage460-
dc.citation.endPage470-
dc.identifier.bibliographicCitationJOURNAL OF THE KOREAN PHYSICAL SOCIETY, Vol.81 : 460-470, 2022-08-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers

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