Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Deep Semi-Supervised Survival Analysis for Predicting Cancer Prognosis
Anchen Sun, Zhibin Chen, Xiaodong Cai
The Cox Proportional Hazards (PH) model is widely used in survival analysis. Recently, artificial neural network (ANN)-based Cox-PH models have been developed. However, training th…
cs.LG2023
Contrastive Learning for Predicting Cancer Prognosis Using Gene Expression Values
Anchen Sun, Elizabeth J. Franzmann, Zhibin Chen +1
Recent advancements in image classification have demonstrated that contrastive learning (CL) can aid in further learning tasks by acquiring good feature representation from a limit…