Fig. 2From: A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patientsIllustration of the accuracy in terms of ROC curves for various predictive models of HT based on NCCT imaging data and clinical informationBack to article page