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Details for article 15 of 59 found articles
| Title: |
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] |
| Author: |
Choi, Min Seo Chang, Jee Suk Kim, Kyubo Kim, Jin Hee Kim, Tae Hyung Kim, Sungmin Cha, Hyejung Cho, Oyeon Choi, Jin Hwa Kim, Myungsoo Kim, Juree Kim, Tae Gyu Yeo, Seung-Gu Chang, Ah Ram Ahn, Sung-Ja Choi, Jinhyun Kang, Ki Mun Kwon, Jeanny Koo, Taeryool Kim, Mi Young Choi, Seo Hee Jeong, Bae Kwon Jang, Bum-Sup Jo, In Young Lee, Hyebin Kim, Nalee Park, Hae Jin Im, Jung Ho Lee, Sea-Won Cho, Yeona Lee, Sun Young Chang, Ji Hyun Chun, Jaehee Lee, Eung Man Kim, Jin Sung Shin, Kyung Hwan Kim, Yong Bae |
| Appeared in: |
The breast |
| Paging: | Volume 74 () nr. C pages p. |
| Year: |
2024 |
| Contents: | |
| Publisher: |
The Author(s) |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 15 of 59 found articles
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