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.
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.
Choi MS, et al. Among authors: chang ar, chang jh, chang js.
Breast. 2024 Feb;73:103599. doi: 10.1016/j.breast.2023.103599. Epub 2023 Nov 15.
Breast. 2024.
PMID: 37992527
Free PMC article.