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.
Enhanced Lung Cancer Survival Prediction Using Semi -Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets,
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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.