Open access
Sep 2026
Prediction of functional outcome after mechanical thrombectomy using radiomics and deep learning features derived from intra-thrombus and peri-thrombus regions
The late-fusion combined model, integrating CT-derived radiomic and DLFs from both intra-thrombus and peri-thrombus regions, may provide an effective approach for predicting 90-day functional outcome after mechanical thrombectomy.
Kai Shang, Xiao-Xiao Xu, Li-Fang Ye et al.
· Frontiers in Neurology · 0 citations