COVID-19 Detection using Hybrid CNN-RNN Architecture with Transfer Learning from X-Rays
Description
CONCLUSION: The combination of CNNs and RNNs enables the model to effectively capture spatial and temporal information, leading to improved performance in COVID-19 detection. The proposed hybrid architecture with transfer learning from X-ray images
