RobSurv uses vector quantization to learn noise-resistant discrete features alongside continuous features, improving CT/PET survival prediction and noise robustness on three cancer datasets.
Image-based sur- vival prediction for lung cancer patients using cnns
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RobSurv: Vector Quantization-Based Multi-Modal Learning for Robust Cancer Survival Prediction
RobSurv uses vector quantization to learn noise-resistant discrete features alongside continuous features, improving CT/PET survival prediction and noise robustness on three cancer datasets.