Can peritumoral regions increase the efficiency of machine-learning prediction of pathological invasiveness in lung adenocarcinoma manifesting as ground-glass nodules?

BACKGROUND: The peri-tumor microenvironment plays an important role in the occurrence, growth and metastasis of cancer. The aim of this study is to explore the value and application of a CT image-based deep learning model of tumors and peri-tumors in predicting the invasiveness of ground-glass nodul...

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Detalles Bibliográficos
Autores principales: Wang, Xiang, Chen, Kaili, Wang, Wei, Li, Qingchu, Liu, Kai, Li, Qianyun, Cui, Xing, Tu, Wenting, Sun, Hongbiao, Xu, Shaochun, Zhang, Rongguo, Xiao, Yi, Fan, Li, Liu, Shiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024795/
https://www.ncbi.nlm.nih.gov/pubmed/33841926
http://dx.doi.org/10.21037/jtd-20-2981

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024795/
https://www.ncbi.nlm.nih.gov/pubmed/33841926
http://dx.doi.org/10.21037/jtd-20-2981

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