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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Original Article
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

Internet

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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