The value of machine learning based radiomics model in preoperative detection of perineural invasion in gastric cancer: a two-center study

PURPOSE: To establish and validate a machine learning based radiomics model for detection of perineural invasion (PNI) in gastric cancer (GC). METHODS: This retrospective study included a total of 955 patients with GC selected from two centers; they were separated into training (n=603), internal tes...

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Detalles Bibliográficos
Autores principales: Gao, Xujie, Cui, Jingli, Wang, Lingwei, Wang, Qiuyan, Ma, Tingting, Yang, Jilong, Ye, Zhaoxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303108/
https://www.ncbi.nlm.nih.gov/pubmed/37388227
http://dx.doi.org/10.3389/fonc.2023.1205163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303108/
https://www.ncbi.nlm.nih.gov/pubmed/37388227
http://dx.doi.org/10.3389/fonc.2023.1205163

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