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.
Author(s): Vania V. Estrela
Publisher: CRC Press/Science Publishers
Year: 2023
Language: English
Pages: 398
City: Boca Raton
Cover
Title Page
Copyright Page
Acknowledgments
Preface
Table of Contents
Part I: Intelligence Meanings and Roles in Healthcare: Introductory Aspects
1. Introduction to Intelligent Healthcare in a Post-Pandemic World
2. The Building Blocks of Health 4.0 – Internet of Things, Big Data with Cloud and Fog Computing
3. Internet of Medical Things (IoMT) Layers for Medical Cyber-Physical Systems
4. Ad Hoc Networks in Healthcare Intelligent Transportation Systems Humanitary Relief – MANETs, VANETs, and FANETs
5. Scale and Resolution Issues regarding Medical Images: Challenges Ahead
6. Some Issues Regarding Content-Based Image Retrieval (CBIR) for Remote Healthcare Theradiagnosis
7. Blockchain Technology Enabling Better Services in the Healthcare Domain
8. 6G in Healthcare – Anticipating Needs and Requirements
Part II: Infrastructural Medical Applications
9. Remote Sensing Applications in Disease Mapping and Public Health Analysis
10. On DICOM, HEVC and 3D Medical Image Compression for Volumetric Theragnostics
11. Deep Learning as a Driving Force for Better Drug Development
12. In-Body Devices and Sensors Communication – How Implantables, Ingestibles, and Injectables Interact with the Internet
13. Nanotechnology, Internet of Nanothings and Nanorobotics in Healthcare – Nano for All
14. Digital Twin Framework for Intelligent Healthcare Facilities through ISO/IEEE 11073
Part III: Advanced Applications Using AI
15. Medical Visual Theragnostic Systems Using Artificial Intelligence (AI) – Principles and Perspectives
16. Metaheuristics Applied to Pathology Image Analysis
17. Super-resolution Image Processing for Hemoglobin Quantification: A Case Study
18. BrATCat: Data Augmentation of MRI Scans via Image-to-Image Translation Using CycleGAN Followed by Pre-Trained Model Categorization
Conclusion
Index
