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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]
- Authors
- Choi, MS | Chang, JS | Kim, K | Kim, JH | Kim, TH | Kim, S | Cha, H | Cho, O | Choi, JH | Kim, M | Kim, J | Kim, TG | Yeo, SG | Chang, AR | Ahn, SJ | Choi, J | Kang, KM | Kwon, J | Koo, T | Kim, MY | Choi, SH | Jeong, BK | Jang, BS | Jo, IY | Lee, H | Kim, N | Park, HJ | Im, JH | Lee, SW | Cho, Y | Lee, SY | Chang, JH | Chun, J | Lee, EM | Kim, JS | Shin, KH | Kim, YB
- Citation
- Breast (Edinburgh, Scotland), 74. : 103624-103624, 2024
- Journal Title
- Breast (Edinburgh, Scotland)
- ISSN
- 0960-97761532-3080
- Abstract
- 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.
- PMID
- 38161095
- Appears in Collections:
- Journal Papers > School of Medicine / Graduate School of Medicine > Radiation Oncology
- Ajou Authors
- 조, 오연
- Files in This Item:
- 38161095.pdfDownload
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