Generative-Adversarial-Network-Based Image Reconstruction for the Capacitively Coupled Electrical Impedance Tomography of Stroke

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 traini...

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Bibliographic Details
Main Authors: Mikhail Ivanenko, Damian Wanta, Waldemar T. Smolik, Przemysław Wróblewski, Mateusz Midura
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Life
Subjects:
capacitively coupled electrical impedance tomography
image recognition
inverse problem
machine learning
neural networks
cGAN
Online Access:https://www.mdpi.com/2075-1729/14/3/419

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