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Found 3 papers, 1 papers with code
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review
Dozens of studies over the last few years have demonstrated that a variety of molecular biomarkers can be predicted from H&E alone using the advancements of deep learning: molecular alterations, genomic subtypes, protein biomarkers, and even the presence of viruses.
Deep Multi-View Learning via Task-Optimal CCA
Canonical Correlation Analysis (CCA) is widely used for multimodal data analysis and, more recently, for discriminative tasks such as multi-view learning; however, it makes no use of class labels.
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
We propose a new method for aggregating predictions from smaller regions of the image into an image-level classification by using the quantile function.
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