Explainable machine learning relates histological to genomic pathology
Background & Aims: Haematoxylin and eosin (H&E) staining remains the diagnostic gold standard for solid cancers, including hepatocellular carcinoma, and is increasingly complemented by genomic profiling for precision medicine. Inferring genomic alterations directly from H&E images could streamline testing, but heterogeneity and biases in human training data limit interpretation of…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
