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Two strategies of training a CAC classification network. The “Strategy 1” is the traditional design for a two-class classification task. To further leverage the performance, we split the CAC to two sub-categories: (Agatston score < 400 and Agatston score ≥ 400). Then, the 3×3 classification matrix for prediction were converted to two class problem for better prediction performance.
