Generative-Adversarial-Network-Based Image Reconstruction for the Capacitively Coupled Electrical Impedance Tomography of Stroke
This study investigated the potential of machine-learning-based stroke image reconstruction in capacitively coupled electrical impedance tomography.The quality of brain images reconstructed using the adversarial neural network (cGAN) was examined.The big data required for supervised network training were generated using a two-dimensional numerical