MEDFORM combines SimCLR on CT slices with cross-modal contrastive alignment to clinical numeric data, reporting modest AUROC gains that are not consistently supported by the presented statistics.
A simple framework for contrastive learning of visual representations
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MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis
MEDFORM combines SimCLR on CT slices with cross-modal contrastive alignment to clinical numeric data, reporting modest AUROC gains that are not consistently supported by the presented statistics.