Analysis of a deep learning-based method for generation of SPECT projections based on a large Monte Carlo simulated dataset

Computer Science

• Acquisition Process 50%
• Artificial Intelligence 100%
• Convolutional Neural Network 50%
• de-noising 100%
• Image Acquisition 50%
• Large Data Set 50%
• Medical Imaging 50%
• Programs 50%
• Root Mean Squared Error 50%
• Training Data 50%
• Validation Dataset 50%

Physics

• Contrast 50%
• Deviation 50%
• Images 50%
• Monte Carlo 100%
• Shapes 50%

Engineering

• Angle Projection 10%
• Convolutional Neural Network 10%
• Database 10%
• Dataset 100%
• Enhancement 10%
• Good Agreement 10%
• Ground Truth 10%
• Images 10%
• Random Shape 10%
• Root-Mean-Squared Error 10%
• Similarity Index 10%
• Small Number 10%
• Statistically Significant Difference 10%