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]

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Publication Details

Journal
Journal of the National Cancer Center
Published
2025-10-25
DOI
https://doi.org/10.1016/j.jncc.2025.08.002
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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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 et al.
Journal of the National Cancer Center
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.
Journal of the National Cancer CenterVol. 5(6)
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)
Openalex Percentile: Top 55%
Radiomics and Machine Learning in Medical Imaging
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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