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Found 2 papers, 1 papers with code
Cross-modality Attention-based Multimodal Fusion for Non-small Cell Lung Cancer (NSCLC) Patient Survival Prediction
Compared with single modality, which achieved c-index of 0. 5772 and 0. 5885 using solely tissue image data or RNA-seq data, respectively, the proposed fusion approach achieved c-index 0. 6587 in our experiment, showcasing the capability of assimilating modality-specific knowledge from varied modalities.
Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation
Cell detection and segmentation is fundamental for all downstream analysis of digital pathology images.
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