Deep Learning Methods for Interpretation of Pulmonary CT and X-ray Images in Patients with COVID-19-Related Lung Involvement: A Systematic Review

Keyphrases

• Deep Learning Methods 100%
• Lung Involvement 100%
• X-ray Images 100%
• COVID-19 Related 100%
• Pulmonary CT 100%
• Patients with COVID-19 100%
• COVID-19 66%
• Convolutional Neural Network Architecture 66%
• Automatic Tool 66%
• World Population 33%
• Computed Tomography 33%
• Medical Practice 33%
• Novel Virus 33%
• Severe Complications 33%
• COVID-19 Patients 33%
• Convolutional Neural Network 33%
• Network Architecture 33%
• Classification Approach 33%
• Parameter Optimization 33%
• Clinical Evaluation 33%
• Model Complexity 33%
• Literature Search 33%
• Neural Network Classifier 33%
• AI Technology 33%
• Architectural Model 33%
• Radiologists 33%
• Convolutional Neural Network Model 33%
• Technical Assessment 33%
• Evaluation Metrics 33%
• Virus Spread 33%
• COVID-19 Classification 33%
• COVID-19 Virus 33%
• Emergency Treatment 33%
• Explainability 33%
• Complexity Parameter 33%

INIS

• reviews 100%
• patients 100%
• images 100%
• learning 100%
• lungs 100%
• x radiation 100%
• covid-19 100%
• computerized tomography 100%
• architecture 60%
• neural networks 60%
• viruses 60%
• tools 40%
• classification 40%
• populations 20%
• optimization 20%
• availability 20%
• evaluation 20%
• cat scanning 20%
• datasets 20%
• monitoring 20%
• emergencies 20%
• metrics 20%

Computer Science

• Convolutional Neural Network 100%
• Deep Learning 100%
• Neural Network Architecture 66%
• Deep Learning 33%
• Artificial Intelligence 33%
• Explainable Artificial Intelligence 33%
• Learning Approach 33%
• Network Architecture 33%
• classification approach 33%
• Neural Network Model 33%
• Architecture Model 33%
• Evaluation Metric 33%
• Critical Component 33%
• Model Complexity 33%
• Deep Learning Technique 33%
• Medical Practice 33%