Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer

Machine learning (ML) algorithms for selecting and combining radiomic features into multiparametric prediction models have become popular; however, it has been shown that large variations in performance can be obtained by relying on different approaches. The purpose of this study was to evaluate the...

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Detalles Bibliográficos
Autores principales: Sepehri, Shima, Tankyevych, Olena, Upadhaya, Taman, Visvikis, Dimitris, Hatt, Mathieu, Cheze Le Rest, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069690/
https://www.ncbi.nlm.nih.gov/pubmed/33918681
http://dx.doi.org/10.3390/diagnostics11040675

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069690/
https://www.ncbi.nlm.nih.gov/pubmed/33918681
http://dx.doi.org/10.3390/diagnostics11040675

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