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Treatment Outcome Prediction for Cancer Patients based on Radiomics and Belief Function Theory
In this study, we proposed a new radiomics-based treatment outcome prediction model for cancer patients. The prediction model is developed based on belief function theory (BFT) and sparsity learning to address the challenges of redundancy, heterogeneity, and uncertainty of radiomic features, and rel...
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| Pubblicato in: | IEEE Trans Radiat Plasma Med Sci |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6941853/ https://ncbi.nlm.nih.gov/pubmed/31903444 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TRPMS.2018.2872406 |
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