Article

MRAN: A Reconstructive Attention Network for Handling Modality Sparsity in Multimodal Cancer Survival Analysis

2026-02-18

Abstract excerpt

<title>Abstract</title> <p>Survival prediction in clear cell renal cell carcinoma (ccRCC) is challenging due to severe class imbalance and pervasive radiological data sparsity in real-world cohorts. Standard multimodal fusion techniques often degrade when modalities are missing, typically overfitting to the majority survival class (∼88%) and failing to reliably flag high-risk patients. We introduce the Multimodal...

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Literature Corpus work: 9164d544-f118-526b-894c-89480c49c913
DOI: 10.21203/rs.3.rs-8887611/v1

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