CIGTSurv uses clinical text embeddings to guide cross-attention and distribution alignment between pathology and genomics, reaching an average C-index of 0.788 across five TCGA cohorts.
Transmil: Transformer based correlated multiple instance learning for whole slide image classification.Advances in neural information processing systems, 34:2136–2147, 2021
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CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment
CIGTSurv uses clinical text embeddings to guide cross-attention and distribution alignment between pathology and genomics, reaching an average C-index of 0.788 across five TCGA cohorts.