A Novel CovidDetNet Deep Learning Model for Effective COVID-19 Infection Detection Using Chest Radiograph Images

Keyphrases

• Activation Function 20%
• Batch Normalization 20%
• Channel Normalization 20%
• Chest Radiograph 100%
• Classification Performance 20%
• Convolutional Layer 20%
• COVID-19 60%
• COVID-19 Classification 20%
• COVID-19 Detection 40%
• COVID-19 Diagnosis 20%
• COVID-19 Diagnostics 20%
• COVID-19 Infection 100%
• COVID-19 Patients 20%
• COVID-19 Pneumonia 20%
• COVID-19 Positive 20%
• COVID-19 Transmission 20%
• Cross-channel 20%
• Deep Learning Methods 20%
• Deep Learning Model 100%
• Detection Model 20%
• Diagnostic Test 20%
• Feature Extractor 20%
• Fully Connected Layer 20%
• Hybrid Deep Learning 20%
• Hybrid Method 20%
• Infection Diagnosis 100%
• Leaky ReLU 20%
• Novel COVID-19 20%
• Patient Treatment 20%
• Radiograph 100%
• Radiography 20%
• ReLU Activation Function 40%
• Saving Time 20%
• Support Vector Machine 20%
• X-ray 20%

Computer Science

• Activation Function 100%
• Batch Normalization 33%
• Convolutional Layer 33%
• Deep Learning Method 66%
• Deep Learning Model 100%
• Experimental Result 33%
• Fully Connected Layer 33%
• Hybrid Approach 33%
• Support Vector Machine 33%

Material Science

• Radiographic Testing 20%
• X Ray Film 100%