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Gene-induced Multimodal Pre-training for Image-omic Classification
Histology analysis of the tumor micro-environment integrated with genomic assays is the gold standard for most cancers in modern medicine.
S$^3$R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification
More concretely, we propose to learn a set of linear coefficients that can be used to represent one band by the remaining bands via masking out these bands.
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