Fig. 4.

Loss curves for MyoMapNet^{4, Pre+PostGd} calculated across the entire image for both training and validation (A), for specific ranges of T₁ using training dataset (B), and for the myocardium and blood pool of the validation dataset (C). Losses for both training and validation decrease with each epoch until a point of stability at ~ 1000 epochs, when learning is stopped by an early stopping, as 70 epochs were passed without improvement