Description
Book SynopsisThe 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
Table of Contents
PART 1: INTELLIGENCE MEANINGS AND ROLES IN HEALTHCARE: INTRODUCTORY ASPECTS. Introduction to Intelligent Healthcare in a Post-Pandemic World. The Building Blocks of Health 4.0 - Internet of Things, Big Data with Cloud and Fog Computing. Internet of Medical Things (IoMT) Layers for Medical Cyber-Physical Systems. Ad Hoc Networks in Healthcare Intelligent Transportation Systems – MANETs, VANETs, and FANETs. Scale and Resolution Issues regarding Medical Images: Challenges Ahead. Some Issues regarding Content-Based Image Retrieval (CBIR) for Remote Healthcare Theradiagnosis. Blockchain Technology Enabling Better Services in the Healthcare Domain. 6G in Healthcare - Anticipating Needs and Requirements. PART 2: INFRASTRUCTURAL MEDICAL APPLICATIONS. Remote Sensing Applications in Disease Mapping and Public Health Analysis. On DICOM, HEVC and 3D Medical Image Compression for Volumetric Theragnostics. Deep Learning as a Drive Force for Better Drug Development. In-Body Devices and Sensors Communication - How Implantables, Ingestibles, and Injectables Interact with the Internet. Nanotechnology, Internet of Nano-things and Nanorobotics in Healthcare – Nano for All. Digital Twin Framework for Intelligent Healthcare Facilities through ISO/IEEE 11073. PART 3: ADVANCED APPLICATIONS USING AI. Medical Visual Theragnostic Systems Using Artificial Intelligence (AI) - Principles and Perspectives. Metaheuristics Applied to Pathology Image Analysis. Mobile Agents and Blockchain for Robust and Secure Authentication and Access Control in Healthcare Systems. Super-resolution Image Processing for Hemoglobin Quantification: A Case Study. BrATCat: Data Augmentation of MRI Scans via Image-to-Image Translation using CycleGAN Followed by Pre-Trained Model Categorization.
