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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.
Ultra-brief CopyThis 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. Volume 1 examines the main applications of computer-aided diagnosis to lung cancer. It is ideal for academics, industry professionals and advanced students.
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.
This book provides a brief introduction to medical imaging, stochastic modeling, and model-guided image analysis. It presents the latest state of the art in stochastic modeling for medical image analysis while incorporating fully tested experimental results throughout. This valuable resource details efficient stochastic modeling techniques, incl
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