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]

Breast. 2023 Dec 30:103624. doi: 10.1016/j.breast.2023.103624. Online ahead of print.NO ABSTRACTPMID:38161095 | DOI:10.1016/j.breast.2023.103624

Source: Breast - December 31, 2023 Category: Cancer & Oncology Authors: Min Seo Choi Jee Suk Chang Kyubo Kim Jin Hee Kim Tae Hyung Kim Sungmin Kim Hyejung Cha Oyeon Cho Jin Hwa Choi Myungsoo Kim Juree Kim Tae Gyu Kim Seung-Gu Yeo Ah Ram Chang Sung-Ja Ahn Jinhyun Choi Ki Mun Kang Jeanny Kwon Taeryool Koo Mi Young Kim Seo Hee C Source Type: research