Radiomics based on machine learning algorithms could predict prognosis and postoperative chemotherapy benefits of patients with gastric cancer: a retrospective cohort study

BACKGROUND: Traditional clinical characteristics have certain limitations in evaluating cancer prognosis. The radiomics features provide information on tumor morphology, tissue texture, and hemodynamics, which can accurately reflect personalized predictions. This study investigated the clinical valu...

Descripción completa

Detalles Bibliográficos
Autores principales: Xiang, Yilan, Hu, Yuanbo, Chen, Chenbin, Zhi, Huaiqing, Zhang, Zhao, Lu, Mingdong, Chen, Xietao, Luo, Zhixian, Chen, Sian, Dias-Neto, Emmanuel, Pizzini, Paolo, Chen, Xinxin, Chen, Xiaodong, Zhuang, Yuandi, Dong, Qiantong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643584/
https://www.ncbi.nlm.nih.gov/pubmed/37969820
http://dx.doi.org/10.21037/jgo-23-627

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643584/
https://www.ncbi.nlm.nih.gov/pubmed/37969820
http://dx.doi.org/10.21037/jgo-23-627

Ejemplares similares