Comparison of Radiomic Feature Aggregation Methods for Patients with Multiple Tumors

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BACKGROUND: Radiomic feature analysis has been shown to be effective at modeling cancer outcomes. It has not yet been established how to best combine these radiomic features in patients with multifocal disease. As the number of patients with multifocal metastatic cancer continues to rise, there is a...

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Detalles Bibliográficos
Autores principales: Chang, Enoch, Joel, Marina, Chang, Hannah Y., Du, Justin, Khanna, Omaditya, Omuro, Antonio, Chiang, Veronica, Aneja, Sanjay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654896/
https://www.ncbi.nlm.nih.gov/pubmed/33173902
http://dx.doi.org/10.1101/2020.11.04.20226159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654896/
https://www.ncbi.nlm.nih.gov/pubmed/33173902
http://dx.doi.org/10.1101/2020.11.04.20226159

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