Carotid atherosclerotic plaque segmentation in multi-weighted MRI using a two-stage neural network: advantages of training with high-resolution imaging and histology

Enjoyed the collaboration on this study that shows the advantages of training #AI-based #segmentation methods with high-resolution #imaging and histology! @WashUengineers @WashUBME @MIRimaging

Congratulations to Ran Li student imaging sciences @mirimaging @WashUengineers @JhaLabWashU Zheng Lab Zayed Lab for his AI paper on plaque segmentation in multi-weighted MRI using a two-stage neural network, high-resolution imaging and histology https://t

RT @WashUVascular: Mohamed Zayed, MD, PhD, and colleagues from @MIRimaging and @BIDMChealth proposed a two-stage neural network method mech…

RT @WashUVascular: Mohamed Zayed, MD, PhD, and colleagues from @MIRimaging and @BIDMChealth proposed a two-stage neural network method mech…