High-Resolution Conductivity Reconstruction by Electrical Impedance Tomography using Structure-Aware Hybrid-Fusion Learning

Computer Science

• Relative Error 100%
• Structural Similarity 100%
• Feature Information 100%
• Measurement Noise 66%
• Inverse Problem 66%
• Modeling Error 66%
• Deep Learning 66%
• Simulation 33%
• Segmentation 33%
• Feature Fusion 33%
• Accuracy 33%
• Sparsity 33%
• Reconstruction Result 33%
• Deep Feature 33%
• Evaluation Metric 33%
• Extracted Feature 33%
• Main Component 33%
• Floating-Point Operation 33%
• Learning Network 33%
• Future Development 33%
• Superior Performance 33%
• Numerical Calculation 33%
• Diagnosis 33%
• Complexity 33%