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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Shiraz University of Medical Sciences
2020
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| Materias: | |
| 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 |