Texture analysis based on U-Net neural network for intracranial hemorrhage identification predicts early enlargement

•The texture analysis based on U-Net neural network is helpful to predict the early expansion of hypertensive cerebral hemorrhage.•The characteristic value based on gray level co-occurrence matrix and gray level run length matrix can be used as an independent predictor.•The texture features of MI showed the lowest misclassified rate for prediction early expansion of hypertensive cerebral hemorrhage.