Machine Learning–Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer

INTRODUCTION: Adverse histopathological status (AHS) decreases outcomes of gastric cancer (GC). With the lack of a single factor with great reliability to preoperatively predict AHS, we developed a computational approach by integrating large-scale imaging factors, especially radiomic features at con...

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Detalles Bibliográficos
Autores principales: Li, Qiong, Qi, Liang, Feng, Qiu-Xia, Liu, Chang, Sun, Shu-Wen, Zhang, Jing, Yang, Guang, Ge, Ying-Qian, Zhang, Yu-Dong, Liu, Xi-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6884348/
https://www.ncbi.nlm.nih.gov/pubmed/31577560
http://dx.doi.org/10.14309/ctg.0000000000000079

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6884348/
https://www.ncbi.nlm.nih.gov/pubmed/31577560
http://dx.doi.org/10.14309/ctg.0000000000000079

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