Foundation model representations from images and transcriptomics carry complementary signals for cancer classification; multimodal fusion improves results mainly when no modality dominates, and conformal prediction recovers true labels in most failed point predictions on out-of-distribution data.
In: 2023 IEEE 13th International Conference on Pattern Recog- nition Systems (ICPRS)
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Probing, Fusion, and Trustworthiness: A Systematic Evaluation of Foundation Model Representations for Multimodal Cancer Analysis
Foundation model representations from images and transcriptomics carry complementary signals for cancer classification; multimodal fusion improves results mainly when no modality dominates, and conformal prediction recovers true labels in most failed point predictions on out-of-distribution data.