Ammasurv: asymmetrical multi-modal attention for accurate survival analysis with whole slide images and gene expression data
R Wang, Z Huang, H Wang… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
The use of multi-modal data such as the combination of whole slide images (WSIs) and
gene expression data for survival analysis can lead to more accurate survival predictions …
gene expression data for survival analysis can lead to more accurate survival predictions …
Survmamba: State space model with multi-grained multi-modal interaction for survival prediction
Multi-modal learning that combines pathological images with genomic data has significantly
enhanced the accuracy of survival prediction. Nevertheless, existing methods have not fully …
enhanced the accuracy of survival prediction. Nevertheless, existing methods have not fully …
Self-supervised learning-based Multi-Scale feature Fusion Network for survival analysis from whole slide images
Understanding prognosis and mortality is critical for evaluating the treatment plan of
patients. Advances in digital pathology and deep learning techniques have made it practical …
patients. Advances in digital pathology and deep learning techniques have made it practical …
Cross-modal translation and alignment for survival analysis
With the rapid advances in high-throughput sequencing technologies, the focus of survival
analysis has shifted from examining clinical indicators to incorporating genomic profiles with …
analysis has shifted from examining clinical indicators to incorporating genomic profiles with …
Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images
S Jiang, Z Gan, L Cai, Y Wang, Y Zhang - International Conference on …, 2024 - Springer
Survival prediction, utilizing pathological images and genomic profiles, is increasingly
important in cancer analysis and prognosis. Despite significant progress, precise survival …
important in cancer analysis and prognosis. Despite significant progress, precise survival …
A novel pathological images and genomic data fusion framework for breast cancer survival prediction
Survival analysis is a valid solution for cancer treatments and outcome evaluations. Due to
the wide application of medical imaging and genome technology, computer-aided survival …
the wide application of medical imaging and genome technology, computer-aided survival …
Mome: Mixture of multimodal experts for cancer survival prediction
Survival prediction requires integrating Whole Slide Images (WSIs) and genomics, a task
complicated by significant heterogeneity and complex inter-and intra-modal interactions …
complicated by significant heterogeneity and complex inter-and intra-modal interactions …
Pathology-and-genomics multimodal transformer for survival outcome prediction
Survival outcome assessment is challenging and inherently associated with multiple clinical
factors (eg, imaging and genomics biomarkers) in cancer. Enabling multimodal analytics …
factors (eg, imaging and genomics biomarkers) in cancer. Enabling multimodal analytics …
Hierarchical transformer for survival prediction using multimodality whole slide images and genomics
Learning good representation of giga-pixel level whole slide pathology images (WSI) for
downstream tasks is critical. Previous studies employ multiple instance learning (MIL) to …
downstream tasks is critical. Previous studies employ multiple instance learning (MIL) to …
MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction
Multimodal learning significantly benefits survival analysis for cancer, particularly through
the integration of pathological images and genomic data. However, this presents new …
the integration of pathological images and genomic data. However, this presents new …