Deep Learning-Based Synthetic TOF-MRA Generation Using Time-Resolved MRA in Fast Stroke Imaging [ARTIFICIAL INTELLIGENCE]
CONCLUSIONS:
A CycleGAN-based deep learning model was developed to generate synthetic TOF from time-resolved MRA. Synthetic TOF can potentially assist in the detection of large-vessel occlusion in stroke centers using time-resolved MRA.
Source: American Journal of Neuroradiology - Category: Radiology Authors: You, S.-H., Cho, Y., Kim, B., Yang, K.-S., Kim, I., Kim, B. K., Pak, A., Park, S. E. Tags: ARTIFICIAL INTELLIGENCE Source Type: research
More News: Brain | Ischemic Stroke | Learning | Neurology | Radiology | Stroke | Study | Universities & Medical Training