Revolutionizing Cancer Diagnosis: How Deep Learning Predicts Continuous Biomarkers with Unprecedented Accuracy

The study introduces a self-supervised attention-based method for weakly supervised regression in digital pathology, which significantly improves biomarker prediction accuracy. Regression-based deep learning outperforms classification-based deep learning in predicting continuous biomarkers. The CAMIL regression method is used Show more