Application of machine learning for image reconstruction in Electrical Impedance Tomography for non-invasive urinary tract monitoring

Key Points

• To explore the use of machine learning for improving image reconstruction in Electrical Impedance Tomography (EIT) for urinary monitoring.
• Application of machine learning algorithms
• Image reconstruction techniques
• Use of Electrical Impedance Tomography (EIT)
• Focus on non-invasive monitoring methods
• Demonstrated enhanced image quality
• Improved accuracy in monitoring urinary tract
• Potential for real-time image processing