A multimodal survival model using attention-based histology features, RNA-seq encoders, and low-rank bilinear fusion shows improved performance over concatenation baselines on the CHIMERA dataset for HR-NMIBC.
IEEE Transactions on Pattern Analysis and Machine Intelligence 41(2), 423–443 (2019)
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Attention-Based Multimodal Survival Prediction with Cross-Modal Bilinear Fusion
A multimodal survival model using attention-based histology features, RNA-seq encoders, and low-rank bilinear fusion shows improved performance over concatenation baselines on the CHIMERA dataset for HR-NMIBC.