Corrigendum to Deep learning model based on primary tumor to predict lymph node status in clinical stage IA lung adenocarcinoma: a multicenter study [Journal of the National Cancer Center 4 (2024) 233–240]
Corrigendum to Deep learning model based on primary tumor to predict lymph node status in clinical stage IA lung adenocarcinoma: a multicenter study [Journal of the National Cancer Center 4 (2024) 233–240]
Lina Zhou, Mengwen Liu, Xuemin Tao, Hailin Li et al.
Journal
Journal of the National Cancer Center
Topics
Radiomics and Machine Learning in Medical Imaging
article
Corrigendum to Deep learning model based on primary tumor to predict lymph node status in clinical stage IA lung adenocarcinoma: a multicenter study [Journal of the National Cancer Center 4 (2024) 233–240]
Lina Zhou, Mengwen Liu, Xuemin Tao, Hailin Li, Shou-Xin Yang, Li Zhang, Jie Tian, Meng Li, Di Dong, Ning Wu, Xue Zhang, Shaohong Zhao
article en
Abstract
No abstract available for this paper.
Publication Tag
Journal of the National Cancer CenterVol. 5(6)
Institutions
Chinese Academy of Sciences (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), Chinese PLA General Hospital (CN), Peking University Cancer Hospital (CN), Shandong Institute of Automation (CN), Beijing Academy of Artificial Intelligence (CN), University of Chinese Academy of Sciences (CN), Beihang University (CN)
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Corrigendum to Deep learning model based on primary tumor to predict lymph node status in clinical stage IA lung adenocarcinoma: a multicenter study [Journal of the National Cancer Center 4 (2024) 233–240] — Lina Zhou, Mengwen Liu, et al. · Journal of the National Cancer Center (2025) | TGRS Research Map | TGRS