Predicting Lung Cancer Patients’ Survival Time via Logistic Regression-based Models in a Quantitative Radiomic Framework

BACKGROUND: Selection of the best treatment modalities for lung cancer depends on many factors, like survival time, which are usually determined by imaging. OBJECTIVES: To predict the survival time of lung cancer patients using the advantages of both radiomics and logistic regression-based classific...

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Detalles Bibliográficos
Autores principales: S. P., Shayesteh, I., Shiri, A. H., Karami, R., Hashemian, S., Kooranifar, H., Ghaznavi, A., Shakeri-Zadeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shiraz University of Medical Sciences 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416103/
https://www.ncbi.nlm.nih.gov/pubmed/32802796
http://dx.doi.org/10.31661/JBPE.V0I0.1027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416103/
https://www.ncbi.nlm.nih.gov/pubmed/32802796
http://dx.doi.org/10.31661/JBPE.V0I0.1027

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