GloResNet: A lightweight 3D CNN with global topological features for preterm brain injury prediction 事件

GloResNet: A lightweight 3D CNN with global topological features for preterm brain injury prediction arXiv:2606.02498v1 Announce Type: new Abstract: This study introduces an automated deep learning framework for predicting brain injury (BI) in preterm infants from T2-weighted MRI (dHCP dataset). We propose GloResNet, a lightweight 3D CNN based on ResNet-10, pretrained on MedicalNet to address data scarcity. A global manifold mapping strategy first resamples each 3D volume to 128x128x128 and the