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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]

Year: 2025

Type: erratum

Abstract: [This corrects the article DOI: 10.1016/j.jncc.2024.01.005.].

Source: Journal of the National Cancer Center

DOI: 10.1016/j.jncc.2025.08.002

Authors: Li Zhang, Hailin Li, Shaohong Zhao, Xuemin Tao, Meng Li, Shouxin Yang, Lina Zhou, Mengwen Liu, Xue Zhang, Di Dong, Jie Tian, Ning Wu

Institutions: Chinese Academy of Medical Sciences & Peking Union Medical College, Cancer Hospital of Chinese Academy of Medical Sciences, Chinese Academy of Sciences, Institute of Automation, Beihang University, Chinese PLA General Hospital, Peking University Cancer Hospital, University of Chinese Academy of Sciences

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,160

Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Natural Science Foundation of Beijing Municipality, Chinese Academy of Medical Sciences, Cancer Foundation of China, National Key Research and Development Program of China, Special Project for Research and Development in Key areas of Guangdong Province, Chinese Academy of Medical Sciences Initiative for Innovative Medicine

Awards: G1651957402, G2087287743, G3007933790, G3231249020, G3336654284, G3819863029, G4121707789, G4208314195, G4283676083, G4486829285, G5048829850, G507285399, G5363342645, G6087305386, G6373189499, G6383302316, G7214918559, G7247059081

OpenAlex ID: W4415536612

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