Deep-learning-based breast cancer stage prediction from H&E-stained whole-slide images in resource-constrained settings

Key Points

• Stage prediction of breast cancer using deep learning shows high accuracy.
• The model achieved an accuracy of 92%, indicating its potential effectiveness.
• Assessment involved analyzing whole-slide images to derive significant predictive features.
• Implications suggest that effective staging can happen even in resource-limited contexts.