Improving radiomic model reliability using robust features from perturbations for head-and-neck carcinoma

BACKGROUND: Using high robust radiomic features in modeling is recommended, yet its impact on radiomic model is unclear. This study evaluated the radiomic model’s robustness and generalizability after screening out low-robust features before radiomic modeling. The results were validated with four da...

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Detalles Bibliográficos
Autores principales: Teng, Xinzhi, Zhang, Jiang, Ma, Zongrui, Zhang, Yuanpeng, Lam, Saikit, Li, Wen, Xiao, Haonan, Li, Tian, Li, Bing, Zhou, Ta, Ren, Ge, Lee, Francis Kar-ho, Au, Kwok-hung, Lee, Victor Ho-fun, Chang, Amy Tien Yee, Cai, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614273/
https://www.ncbi.nlm.nih.gov/pubmed/36313629
http://dx.doi.org/10.3389/fonc.2022.974467

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614273/
https://www.ncbi.nlm.nih.gov/pubmed/36313629
http://dx.doi.org/10.3389/fonc.2022.974467

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