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Zhou Cross-Modal Translation and Alignment For Survival Analysis ICCV 2023 Paper by sbei arafet is a document available to read on EtoBox.

The paper presents a Cross-Modal Translation and Alignment (CMTA) framework for survival analysis that integrates genomic profiles and pathological images to improve survival prediction accuracy. By employing parallel encoder-decoder structures and a cross-modal attention module, the framework captures intrinsic correlations between modalities and enhances intra-modal representations. Extensive experiments on public datasets demonstrate that the proposed method outperforms existing state-of-the-art approach

Author

sbei arafet

Language

EN