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. <br />Objectives: To predict the survival time of lung cancer patients using the advantages of both radiomics and logistic regression-bas...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Shiraz University of Medical Sciences
2020-08-01
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| Series: | Journal of Biomedical Physics and Engineering |
| Subjects: | |
| Online Access: | https://jbpe.sums.ac.ir/article_45726_ee5e01534e3a4c6a1622eb450f9311f0.pdf |