ABSTRACT
The book sheds light on medical cyber-physical systems while addressing image processing, microscopy, security, biomedical imaging, automation, robotics, network layers’ issues, software design, and biometrics, among other areas. Hence, solving the dimensionality conundrum caused by the necessity to balance data acquisition, image modalities, different resolutions, dissimilar picture representations, subspace decompositions, compressed sensing, and communications constraints. Lighter computational implementations can circumvent the heavy computational burden of healthcare processing applications. Soft computing, metaheuristic, and deep learning ascend as potential solutions to efficient super-resolution deployment. The amount of multi-resolution and multi-modal images has been augmenting the need for more efficient and intelligent analyses, e.g., computer-aided diagnosis via computational intelligence techniques. This book consolidates the work on artificial intelligence methods and clever design paradigms for healthcare to foster research and implementations in many domains. It will serve researchers, technology professionals, academia, and students working in the area of the latest advances and upcoming technologies employing smart systems’ design practices and computational intelligence tactics for medical usage. The book explores deep learning practices within particularly difficult computational types of health problems. It aspires to provide an assortment of novel research works that focuses on the broad challenges of designing better healthcare services.
TABLE OF CONTENTS
part I|181 pages
Intelligence Meanings and Roles in Healthcare: Introductory Aspects
chapter Chapter 2|21 pages
The Building Blocks of Health 4.0 – Internet of Things, Big Data with Cloud and Fog Computing
chapter Chapter 3|21 pages
Internet of Medical Things (IoMT) Layers for Medical Cyber-Physical Systems
chapter Chapter 6|25 pages
Some Issues Regarding Content- Based Image Retrieval (CBIR) for Remote Healthcare Theradiagnosis
part II|115 pages
Infrastructural Medical Applications
chapter Chapter 10|14 pages
On DICOM, HEVC and 3D Medical Image Compression for Volumetric Theragnostics
chapter Chapter 13|20 pages
Nanotechnology, Internet of Nanothings and Nanorobotics in Healthcare – Nano for All
chapter Chapter 14|19 pages
Digital Twin Framework for Intelligent Healthcare Facilities through ISO/IEEE 11073
part III|88 pages
Advanced Applications Using AI