Corrigendum to ‘Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study’ [The Breast 73 (2024) 103599] (The Breast (2024) 73, (S0960977623007257), (10.1016/j.breast.2023.103599))
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초록

The authors apologize for the oversight in presenting incomplete affiliations for author Jin Sung Kim. Jin Sung Kim is affiliated with the Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Republic of Korea, and Oncosoft Inc., Seoul, Republic of Korea. The authors would like to apologize for any inconvenience caused. © 2023 The Author(s)

제목
Corrigendum to ‘Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study’ [The Breast 73 (2024) 103599] (The Breast (2024) 73, (S0960977623007257), (10.1016/j.breast.2023.103599))
저자
Choi, Min SeoChang, Jee SukKim, KyuboKim, Jin HeeKim, Tae HyungKim, SungminCha, HyejungCho, OyeonChoi, Jin HwaKim, MyungsooKim, JureeKim, Tae GyuYeo, Seung-GuChang, Ah RamAhn, Sung-JaChoi, JinhyunKang, Ki MunKwon, JeannyKoo, TaeryoolKim, Mi YoungChoi, Seo HeeJeong, Bae KwonJang, Bum-SupJo, In YoungLee, HyebinKim, NaleePark, Hae JinIm, Jung HoLee, Sea-WonCho, YeonaLee, Sun YoungChang, Ji HyunChun, JaeheeLee, Eung ManKim, Jin SungShin, Kyung HwanKim, Yong Bae
DOI
10.1016/j.breast.2023.103624
발행일
2024-04
유형
Correction
저널명
Breast
74