Using pseudo-labeled censored data, semi-supervised regression improved lung cancer overall survival time prediction by 26.5% in mean absolute error for PET radiomics features versus supervised learning in a 199-patient study.
Mapping of global, regional and national incidence, mortality and mortality -to-incidence ratio of lung cancer in 2020 and 2050,
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Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features
Using pseudo-labeled censored data, semi-supervised regression improved lung cancer overall survival time prediction by 26.5% in mean absolute error for PET radiomics features versus supervised learning in a 199-patient study.