Fig 1. Final infarct outcome predictions for a selected patient.

Images of the final infarct outcome predictions (first and third row) and binarized masks (second and fourth row) for the global, local, and hybrid (left to right) LR and RF (top to bottom) models for a selected patient and the corresponding true follow-up lesion outcome shown on the far right. In areas where the global models underestimates the lesion, the local models show higher infarct probabilities leading to better fits of the binary prediction masks, with the true follow-up lesion outcome; for both, LR (A) and RF (B). In addition, the global LR and RF models show a smooth coherent infarct prediction, whereas the local approach, especially the RF model, is slightly more scattered. Nevertheless, the dispersion of the local approach is concentrated on the actual infarct regions, so that the hybrid prediction is not only smoother than the local approaches, but also leads to the overall best qualitative results.