Medical Information Processing and Security
Techniques and applications
Smart healthcare systems, made up of advanced wearable devices, internet of things (IoT) technologies and mobile internet connectivity, allow significant medical information to be easily and regularly transmitted over public networks. Personal patient information and clinical records are stored on hospitals and healthcare centres and can be accessed remotely by healthcare workers. Due to the widespread increase in the sheer volume of medical data being collected and created all the time, it has never been more important to ensure that such information is collected, stored and processed in a reliable and secure manner.
This edited book covers the recent trends in the field of medical information processing, including prediction of complications using machine learning and trends in visualization and image analysis. Further chapters focus on information security and privacy solutions for smart healthcare applications, including encryption of medical information, privacy in smart IoT environments, medical image watermarking and secure communication systems.
Medical Information Processing and Security: Techniques and applications can be used as a reference book for practicing engineers, researchers and scientists. It will also be useful for senior undergraduate and graduate students, and practitioners from government and industry as well as healthcare technology professionals working on state-of-the-art security solutions for smart healthcare applications.
About the Editors
Amit Kumar Singh is an assistant professor in the Computer Science and Engineering Department at the National Institute of Technology Patna, India. Stanford University, USA recognized him as "World ranking of top 2% scientists" in the area of "Biomedical Research" in 2019 and "Artificial Intelligence & Image Processing" in 2020. He is the associate editor of several IEEE and ACM journals. His research interests include multimedia data hiding, image processing, biometrics, and cryptography.
Huiyu Zhou is a professor and head of The Biomedical Image Processing Lab at the University of Leicester, UK. He is editor-in-chief of Recent Advances in Electrical & Electronic Engineering, and associate editor of numerous reputed international journals. He is area chair of British Machine Vision Conference and the International Joint Conference on Artificial Intelligence. His research interests include machine learning, computer vision and signal processing.
Amit Kumar Singh, Huiyu Zhou