Machine learning-based gray-level co-occurrence matrix signature for predicting lymph node metastasis in undifferentiated-type early gastric cancer

BACKGROUND: The most important consideration in determining treatment strategies for undifferentiated early gastric cancer (UEGC) is the risk of lymph node metastasis (LNM). Therefore, identifying a potential biomarker that predicts LNM is quite useful in determining treatment. AIM: To develop a mac...

Descripción completa

Detalles Bibliográficos
Autores principales: Wei, Xin, Yan, Xue-Jiao, Guo, Yu-Yan, Zhang, Jie, Wang, Guo-Rong, Fayyaz, Arsalan, Yu, Jiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Retrospective Cohort Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521518/
https://www.ncbi.nlm.nih.gov/pubmed/36185632
http://dx.doi.org/10.3748/wjg.v28.i36.5338

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521518/
https://www.ncbi.nlm.nih.gov/pubmed/36185632
http://dx.doi.org/10.3748/wjg.v28.i36.5338

Ejemplares similares