COVID-19 Radiological Lung Imaging

COVID-19 Radiological Lung Imaging: A Classic Artificial Intelligence Framework introduces modern AI technologies for early detection of COVID-19 disease to assist in saving patient lives and safeguarding frontline workers. With a strong focus on Deep Learning, the book examines specific detection and classification techniques in lung X-ray imaging, computed tomography lung imaging, deep learning on edge devises and bias measurements, deep learning for cloud and explainable AI for validation, and discusses the medical impact and AI implications for COVID-19 in lung pathologies. It is therefore an ideal reference for researchers and clinicians working in radiology and pulmonary medicine to learn the modern AI technologies in COVID-19 paradigms for implementation.

• Offers broad and complete coverage in AI in healthcare regarding detection, classification, explainable AI, cloud-based diagnosis, pruning, and bias technologies in radiology
• Reviews AI systems technology that can be incorporated into medical devices as well as in many diagnoses and treatment procedures
• Contributes to early detection techniques of COVID-19 disease through AI technologies