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An artificial neural network model predicting pathologic nodal metastases in clinical stage I–II esophageal squamous cell carcinoma patients
BACKGROUND: Current preoperative staging for lymph nodal status remains inaccurate. The purpose of this study was to build an artificial neural network (ANN) model to predict pathologic nodal involvement in clinical stage I–II esophageal squamous cell carcinoma (ESCC) patients and then validated the...
Autores principales: | Liu, Xiao-Long, Shao, Chen-Ye, Sun, Lei, Liu, Yi-Yang, Hu, Li-Wen, Cong, Zhuang-Zhuang, Xu, Yang, Wang, Rong-Chun, Yi, Jun, Wang, Wei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7656440/ https://www.ncbi.nlm.nih.gov/pubmed/33209391 http://dx.doi.org/10.21037/jtd-20-1956 |
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