Gamble and Jaroensri et al. develop deep learning systems to predict breast cancer biomarker status using H&E images. Their models enable slide-level and patch-level predictions for ER, PR and HER2, with interpretability analyses highlighting specific histological features associated with these markers.
- Paul Gamble
- Ronnachai Jaroensri
- Po-Hsuan Cameron Chen