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

Digital pathology involves analyzing tissue specimens, often whole slide images (WSI), to predict genetic biomarkers for accurate tumor diagnosis. Deep learning models process WSI by breaking them into smaller regions or tiles and aggregating features to predict biomarkers. However, current methods primarily focus on categorical classification despite many continuous biomarkers. Regression analysis offers a more […]

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