Advances in Medical Imaging

Advances in Medical Imaging discusses the key concepts of AI in imaging and healthcare. It includes a critical analysis of its algorithms and applications, along with emerging trends in medical diagnostics, device optimization and personalized medicine. This book uses metadata heuristic algorithms; deep learning for disease detection; medical image segmentation; explainable AI; and IoT and hybrid algorithms, integrating all of this into the healthcare system. Additionally, the book touches on specific issues such as CNNs, multi-class and multi-label disease classification and digital transformation of health services.

Key features:

• Multidisciplinary approach covering topics such as AI, deep learning, IoT and metaheuristics with a focus on healthcare.
• Real examples with detailed information for analyzing current technologies.
• Discusses several topics on interpretability and ethical considerations in AI, making it rich material for technical experts and healthcare professionals.
• Identifies efficient models, with which automated medical diagnosis and prognosis are possible.

This book is specifically oriented toward researchers, practitioners and students in the areas of artificial intelligence, medical imaging, healthcare technology and bioinformatics.