Deep Learning-Based Tract Classification of Preoperative DWI Tractography Advances the Prediction of Short-term Postoperative Language Improvement in Children with Drug-resistant Epilepsy

To develop an innovative deep convolutional neural network (DCNN)-based tract classification to enhance the prediction of short-term postoperative language improvement using axonal connectivity markers derived from specific language modular networks (LMNs) within the preoperative whole-brain diffusion-weighted imaging connectome (wDWIC).