Compressed sensing using a deep adaptive perceptual generative adversarial network for MRI reconstruction from undersampled K-space data

Computer Science

• Generative Adversarial Networks 100%
• Compressed Sensing 100%
• Image Quality 33%
• Average Performance 33%
• Superior Performance 33%
• Generalization Ability 33%
• Deep Learning 33%
• Experimental Result 33%
• Error Correction 33%
• Reconstruction Problem 33%

Engineering

• Space Data 100%
• Compressed Sensing 100%
• Experimental Result 33%
• Reconstruction Problem 33%
• Level Feature 33%
• Deep Learning 33%
• Error Correction 33%
• Similarity Index 33%
• Effective Feature 33%