An automatic deep-learning approach for the prediction of post-stroke epilepsy after an initial intracerebral hemorrhage based on non-contrast computed tomography imaging

Based on our findings, the developed PSENet could be used to predict PSE quickly after the first ICH, especially in scenarios in which reliable clinical information is lacking on admission.