Multimodal glioma survival models achieve better performance through additive integration of image and RNA features rather than cross-modal synergies, as quantified by lower measured interactions in stronger architectures.
In: Advances in Neural Information Processing Systems30, pp
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Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Evidence for Additive Signal Integration
Multimodal glioma survival models achieve better performance through additive integration of image and RNA features rather than cross-modal synergies, as quantified by lower measured interactions in stronger architectures.