Bøger af Ayman El-Baz

This work represents recent advancement in cloud-based medical imaging. It looks at the integration of AI, Cloud Computing, and medical imaging. Special focus is given to the intricacies of designing cloud-based imaging systems. The book also examines issues surrounding big data in medical imaging applications.

This book focuses on major trends and challenges in the area of diagnosing lung and kidney cancer using artificial intelligence tools. It presents work aimed to identify new techniques and their use in biomedical analysis.

This book focuses on major trends and challenges in the area of attention deficit hyperactivity disorder (ADHD) and presents work aimed to identify new techniques and their use in biomedical analysis.

This book focuses on major trends and challenges in the detection of lung cancer, presenting work aimed at identifying new techniques and their use in biomedical analysis. This volume covers recent advancements in lung cancer and imaging detection and classification, examining the main applications of Computer aided diagnosis (CAD) relating to lung cancer: lung nodule segmentation, lung nodule classification, and Big Data in lung cancer. Ideal for academics working in lung cancer, data-mining, machine learning, deep learning and reinforcement learning, as well as industry professionals working in the areas of healthcare, lung cancer imaging, machine learning, deep learning and reinforcement learning, this edited collection comprises an essential reference for researchers at the forefront of the field, and provides a high-level entry point for more advanced students.Key Features: -Unique focus on advance work in detection system and classification systems. -An updated reference for lung cancer detection via imaging. -Focus on progressive deep learning and machine learning applications for more effective detection.

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.