This book presents latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas of using IoT with deep learning (motion-based object data) to deal with human dynamics, and challenges including critical applications domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book offers real-time healthcare applications, novel solutions, current open challenges, and future of deep learning for next generation healthcare. It includes detailed analysis of the utilization of IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, Genome.

* Presents practical approaches of using IoT with deep learning vision, how it deals with human dynamics

* Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genome and many more

* Includes the latest technological advances in IoT and deep learning with their implementations in Health Care

* Combines deep learning and analysis into the unified framework to understand both IoT and deep learning applications

* Covers the challenging issues related to data collection by sensors, detection and tracking of moving object and solutions to handle relevant challenges

Postgraduate students and Researchers in the departments of Computer Science, working in the areas of IoT, deep learning, machine learning, image processing, big data, cloud computing, remote sensing will find this book useful.