Fig. 1From: 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 patientsFlow diagram of the dataset selection process for eligible patientsBack to article page