Congratulations to Book Editors, Mamoon Rashid, Vishal Goyal, Ali Kashif Bashir and Saqib Hakak and to all of their chapter contributors on the publication of this new IET Book: Medical Imaging Informatics: Machine learning, deep learning and big data analytics

About the Book

Medical imaging informatics play an important role in the effectiveness of present-day healthcare systems. Advancement of artificial intelligence, big data analytics, and internet of things technologies contribute greatly to various healthcare applications. Artificial intelligence techniques are contributing to improvements with traditionally human-based systems and ensuring that the accuracy of prediction and diagnosis is being continually enhanced. The development of reliable and accurate healthcare models is becoming ever more possible with the help of machine learning and deep learning technologies. Artificial intelligence has the power to solve many complex problems in medical imaging and is a technology that will help to design the future of many healthcare systems.

This edited book highlights and addresses various issues in medical imaging and provides viable solutions utilising artificial intelligence and big data tools. This book discusses techniques, algorithms, and tools which help build and develop research practices, platforms, and applications in medical image informatics.

Medical image enhancement, big data analytics and artificial intelligence models are discussed with relation to applications in the detection of cancer, autism, allergies and diabetes. The design and development of internet of medical things and virtual reality tools for mental health disorders are also explored.

This book is suitable reading for researchers and scientists, in both academia and industry, working in computer science and engineering, machine learning, image processing, and healthcare technologies. Those in aligned professions, such as healthcare practitioners, administrators, designers and developers may also find the subject matter of interest.

About the Editors

Mamoon Rashid is working as an associate professor in the Department of Computer Engineering, Vishwakarma University, Pune, India. He also holds a position of director, Research Center of Excellence for Health Informatics, Vishwakarma University, Pune, India. He has published 100+ papers indexed in SCI/SCIE journals and Conferences of International repute. He served as lead guest editor for many journals indexing in Web of Science. His research interests include health informatic, medical imaging, and image processing.

Vishal Goyal is a full professor at Department of Computer Science, Punjabi University Patiala, India. He also holds the positions of coordinator, "Research Centre for Technology Development for Differently Abled Persons" and director, Centre for E-Learning and Teaching Excellence, Punjabi University, India. He has published 100+ research publications in various journals and conferences of national and international repute. His research areas are natural language processing, technology development for differently abled people and machine learning.

Ali Kashif Bashir is a reader at the Department of Computing and Mathematics, Manchester Metropolitan University, UK. He is the leader of Future Networks Lab and head of Advanced Cybersecurity Testbed. He has published over 250 high-impact articles in top venues. He has obtained over £‎4 million external funding from UK, South Korean, Japanese, European, Asian and Middle Eastern agencies. He has delivered over 40 invited and keynote talks across the globe.

Saqib Hakak is an assistant professor at the Canadian Institute for Cybersecurity, University of New Brunswick, Canada. He has 6+ years of industrial and academic experience. He has published 90+ papers in journals of repute. His research interests include risk management, fake news detection using AI, security and privacy concerns in IoE, applications of federated learning in IoT, and blockchain technology.

The book is available to buy from our bookshop:
https://shop.theiet.org/medical-imaging-informatics 

Or from our digital library:
https://digital-library.theiet.org/content/books/he/pbhe057e 

REMEMBER: IET members can use their knowledge credits to access book chapters. More about Knowledge Credits can be found here:
https://digital-library.theiet.org/about/knowledge-packs 

If you have an idea for a healthcare technology book or would like to find out more about publishing with the IET, please visit
https://www.theiet.org/publishing/ir/publish-with-us/publish-with-our-books/ or get in touch via author_support@theiet.org.