Cloud Computing in Medical Imaging

This work represents recent advancement in cloud-based medical imaging. It looks at the integration of AI, Cloud Computing, and medical imaging. Special focus is given to the intricacies of designing cloud-based imaging systems. The book also examines issues surrounding big data in medical imaging applications.

Ayman El-Baz, Ph.D., Professor, University Scholar, and Chair of Bioengineering Department at the University of Louisville, KY. Dr. El-Baz earned his bachelor's and master degrees in Electrical Engineering in 1997 and 2001. He earned his doctoral degrees in electrical engineering from the University of Louisville in 2006. In 2009, Dr. El-Baz was named a Coulter Fellow for his contribution in the biomedical translational research. Dr El-Baz has 15 years of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or coauthored more than 300 technical articles (87 journals, 9 books, 39 book chapters, 144 refereed-conference papers, 74 abstracts published in proceedings, and 12 US patents). Jasjit S. Suri, an innovator, a visionary, a scientist, and an internationally-known world leader, has spent about 30 years in the field of biomedical engineering/sciences, software and hardware engineering and its management. During his career in biomedical industry/imaging, he has had an upstream growth and responsibilities from scientific Engineer, Scientist, Manager, Director R&D, Sr. Director, Vice President, Chief Technology Officer (CTO), CEO level positions in industries like Siemens Medical Systems, Philips Medical Systems, Fisher Imaging Corporation and Eigen Inc., Global Biomedical Technologies Inc., AtheroPoint(TM), respectively and managed unto a maximum of 50 to 100 people. He is currently the Chairman of Global Biomedical Technologies, Inc., CA, USA.

Acknowledgements. Preface. Editors. Contributors. 1 Cloud Computing in Healthcare and Medical Imaging: A Brief Overview. 2 ISM and DEMATEL Analysis of H4.0 Enablers in the Indian Healthcare Industry. 3 Machine Learning Algorithms for Health Data Security: A Systematic Review. 4 Fog Computing in IoT-Based Healthcare Systems. 5 Medical Imaging and Healthcare Applications Using 5G. 6 The Application of Cloud-Computing Technology to Improve Patients' Medical History Access to Clinicians for Quality of Care in the Fourth Industrial Revolution. 7 Diagnostic Imaging and Associated Services: Toward Interoperability and Cloud Computing. 8 Health Monitoring Based on the Integrated Offer of Cloud-IoT Sensing Services. 9 Sleep-Stage Identification Using Recurrent Neural Network for ECG Wearable-Sensor Systems. 10 Classification of Methods to Reduce Clinical Alarm Signals for Remote Patient Monitoring: A Critical Review. 11 Cloud Computing in Medical Imaging, Healthcare Technologies, and Services. 12 An Insight into Image Steganography for Medical Informatics. Index.