Methodological quality of radiomic-based prognostic studies in gastric cancer: a cross-sectional study

BACKGROUND: Machine learning radiomics models are increasingly being used to predict gastric cancer prognoses. However, the methodological quality of these models has not been evaluated. Therefore, this study aimed to evaluate the methodological quality of radiomics studies in predicting the prognos...

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Detalles Bibliográficos
Autores principales: Jiang, Tianxiang, Zhao, Zhou, Liu, Xueting, Shen, Chaoyong, Mu, Mingchun, Cai, Zhaolun, Zhang, Bo
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/PMC10507631/
https://www.ncbi.nlm.nih.gov/pubmed/37731636
http://dx.doi.org/10.3389/fonc.2023.1161237

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507631/
https://www.ncbi.nlm.nih.gov/pubmed/37731636
http://dx.doi.org/10.3389/fonc.2023.1161237

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