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.
Preface
PART I: INTELLIGENCE MEANINGS AND ROLES IN HEALTHCARE: INTRODUCTORY ASPECTS
1. Introduction to Intelligent Healthcare in a Post-Pandemic World
V.V. Estrela, A.A. Laghari, R.T. Lopes, A.A. Khan, S. Yin, A. Deshpande
2. The Building Blocks of Health 4.0 – Internet of Things, Big Data with Cloud and Fog Computing
Vania V. Estrela, Anand Deshpande, Ricardo T. Lopes, Aline C. Intorne, Dalmo Stutz, Luciana P. Oliveira
3. Internet of Medical Things (IoMT) Layers for Medical Cyber-Physical Systems
Vania V. Estrela, Awais Khan Jumani, Asif A. Laghari, Rashid Ali Laghari, Abdullah Ayub Khan, Maria A. de Jesus, Robert Sroufer, Ricardo T. Lopes
4. Ad Hoc Networks in Healthcare Intelligent Transportation Systems Humanitary Relief – MANETs, VANETs, and FANETs
V.V. Estrela, A. Deshpande, D. Stutz, J.T. de Assis, Awais K. Jumani, Abdullah A. Khan, Fuqian Shi, Shoulin Yin, Yu-Da Lin
5. Scale and Resolution Issues regarding Medical Images: Challenges Ahead
V.V. Estrela, A. Deshpande, R.T. Lopes, Shoulin Yin, A.A. Khan, Jenice Aroma, K. Raimond, R. Sroufer, Yu-Da Lin
6. Some Issues Regarding Content-Based Image Retrieval (CBIR)for Remote Healthcare Theradiagnosis
Vania V. Estrela, Abdullah Ayub Khan, Aftab Ahmed Shaikh, Asif Ali Laghari, Mazhar Ali Dootio, Mudassir Hussain, Awais Khan Jumani, Rukhsar Ayub
7. Blockchain Technology Enabling Better Services in the Healthcare Domain
V.V. Estrela, M.A. de Jesus, A.C. Intorne, Kate K.S. Batista, A. Deshpande, Fuqian Shi, A.A. Khan, Luciana P. Oliveira
8. 6G in Healthcare – Anticipating Needs and Requirements
Vania V. Estrela, Anand Deshpande, Dalmo Stutz, Joaquim T. de Assis, Asif A. Laghari, Fuqian Shi, Yu-Da Lin
PART II: INFRASTRUCTURAL MEDICAL APPLICATIONS
9. Remote Sensing Applications in Disease Mapping and Public Health Analysis
Vania V. Estrela, Jenice Aroma, Robert Sroufer, Kumudha Raimond, Aline C. Intorne, Anand Deshpande, Asif A. Laghari, Luciana P. Oliveira
10. On DICOM, HEVC and 3D Medical Image Compression for Volumetric Theragnostics
Vania V. Estrela, Anand Deshpande, Ricardo T. Lopes, Shoulin Yin, Nikolaos Andreopoulos, Andrey Terziev, A.A. Laghari
11. Deep Learning as a Driving Force for Better Drug Development
Vania V. Estrela, Khuda Bukhsh, M. Malook Rind, Sarmad Shaikh, Abdullah Ayub Khan, Asif Ali Laghari, A. Deshpande, N. Andreopoulos, Andrey Terziev
12. In-Body Devices and Sensors Communication – How Implantables, Ingestibles, and Injectables Interact with the Internet
Vania V. Estrela, Edwiges G.H. Grata, Anand Deshpande, Robert Sroufer, Ricardo T. Lopes, Fuqian Shi, Khuda Bukhsh,M. Malook Rind, Sarmad Shaikh
13. Nanotechnology, Internet of Nanothings and Nanorobotics in Healthcare – Nano for All
Vania V. Estrela, Aline C. Intorne, Kate K.S. Batista, Anand Deshpande, Robert Sroufer, Ricardo T. Lopes, Fuqian Shi, Shoulin Yin, Yu-Da Lin
14. Digital Twin Framework for Intelligent Healthcare Facilities through ISO/IEEE 11073
Vania V. Estrela, Anand Deshpande, Robert Sroufer, Ricardo T. Lopes, Edwiges G.H. Grata, Nikolaos Andreopoulos, Andrey Terziev, Asif Ali Laghari
PART III: ADVANCED APPLICATIONS USING AI
15. Medical Visual Theragnostic Systems Using Artificial Intelligence (AI) – Principles and Perspectives
V.V. Estrela, M.A. de Jesus, Aline C. Intorne, Kate K.S. Batista, Anand Deshpande, Fuqian Shi, Asif Ali Laghari, Abdullah A. Khan, L.P. Oliveira
16. Metaheuristics Applied to Pathology Image Analysis
Vania V. Estrela, Aline C. Intorne, Kate K.S. Batista,Anand Deshpande, Jenice Aroma, Kumudha Raimond, Fuqian Shi, Asif Ali Laghari, Yu-Da Lin
17. Super-resolution Image Processing for Hemoglobin Quantification: A Case Study
A.A. Khurshid, Soni Chaturvedi, Boudjelal Meftah
18. BrATCat: Data Augmentation of MRI Scans via Image-to-Image Translation Using CycleGAN Followed by Pre-Trained Model Categorization
Preet Sanghavi, Shrey Dedhia, Siddharth Salvi, Kriti Srivastava
Conclusion
Vania V. Estrela
Index
Biography
Vania V. Estrela has a B.S. degree from Federal University of Rio de Janeiro (UFRJ) in Electrical and Computer Engineering (ECE); M.Sc. from the Technological Institute of Aeronautics (ITA), Brazil; M.Sc. degree in ECE at Northwestern University, USA; and Ph.D. in ECE from the Illinois Institute of Technology (IIT), Chicago, IL, USA. Taught at DePaul University, USA, and Universidade Estadual do Norte Fluminense (UENF), Brazil. She was visiting professor at the Polytechnic Institute of Rio de Janeiro (IPRJ)/State University of Rio de Janeiro (UERJ) in Brazil and currently working at UFF's Department of Telecommunications. Research interests include signal/image/video processing, inverse problems, computational & mathematical modeling, stochastic models, multimedia, communications, motion estimation, machine learning, and geoprocessing. She reviews several journal/magazine articles, and she is deputy editor of the Neuroscience Informatics journal (Elsevier). She is engaged in technology transfer, STEAM education, environmental issues, and digital inclusion. She is editor of several books and special issues and a member of IEEE and ACM.
