Unified multimodal computational pathology with missing-modality robustness via Riemannian learning
Guang Yang, Mingcheng Qu, Donglin Di, Kai Yi et autres
Recent advances in multimodal computational pathology (CPath) have enabled the integration of pathological and molecular data. However, existing studies often rely on a single omics modality (e.g., DNA or transcriptomics), overlooking cross-layer biological dependencies and failing to effectively handle the missing-modality challenge …
cn, gb, us, au (code pays fourni par la source)
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