Artificial Intelligence Strategies for Analyzing COVID-19 Pneumonia Lung Imaging, Volume 1 (EPUB) von Ayman El-Baz

The utilization of AI strategies for diagnosis, follow-up, and treatments of COVID-19 patients is now becoming essential. This is the first comprehensive reference work published detailing the latest research and developments in the utilization of AI strategies in the diagnosis and treatment of COVID-19 patients.

Ch.1. Applying Deep Learning and Emerging Technologies in Combating COVID-19
Ch. 2. COVID-19 Detection from Chest Radiographs Using Machine Learning and Convolutional Neural Networks
Ch. 3. Inf-Net: An Automatic Lung Infection Segmentation Network from CT Images
Ch. 4. A Comprehensive Review on Radiology Smartphone ApplicationsCh. 5. A Hybrid Deep Learning Method with Attention to Forecast COVID-19 Spread
Ch. 6. A Residual Network Based Deep Learning Model for Detection of COVID-19 from Cough Sounds
Ch. 7. AI-based COVID-19 Diagnosis Among Eight Other Lung Respiratory Diseases: Rapid and Accurate
Ch. 8. Diagnosis of COVID-19 Based on Support Vector Machine by Feature Selection Techniques
Ch. 9. Post-Analysis of COVID-19 Pneumonia Based on Chest CT Images Using AI algorithms: A Clinical Point of View
Ch. 10. Lung CT Scans for Management of Pneumonitis and Diagnosis in COVID-19
Ch. 11. Applications of Machine Learning in COVID-19 Pandemic: A Scoping Review