Meta-Learning Frameworks for Imaging Applications by Ashok Sharma

Meta-Learning Frameworks for Imaging Applications by Ashok Sharma

Meta-learning, or learning to learn, has been gaining popularity in recent years to adapt to new tasks systematically and efficiently in machine learning. In the book, Meta-Learning Frameworks for Imaging Applications, experts from the fields of machine learning and imaging come together to explore the current state of meta-learning and its application to medical imaging and health informatics. The book presents an overview of the meta-learning framework, including common versions such as model-agnostic learning, memory augmentation, prototype networks, and learning to optimize. It also discusses how meta-learning can be applied to address fundamental limitations of deep neural networks, such as high data demand, computationally expensive training, and limited ability for task transfer. One critical topic in imaging is image segmentation, and the book explores how a meta-learning-based framework can help identify the best image segmentation algorithm, which would be particularly beneficial in the healthcare domain. This book is relevant to healthcare institutes, e-commerce companies, and educational institutions, as well as professionals and practitioners in the intelligent system, computational data science, network applications, and biomedical applications fields. It is also useful for domain developers and project managers from diagnostic and pharmacy companies involved in the development of medical expert systems. Additionally, graduate and master students in intelligent systems, big data management, computational intelligent approaches, computer vision, and biomedical science can use this book for their final projects and specific courses.

Sharma, Ashok: - Ashok Sharma is a Fellow at the Australia India Institute (AII), the University of Melbourne. Prior to joining the AII in May 2015, Dr Sharma was a lecturer in the Department of Politics and International Relations at the University of Auckland, where he taught Great Power Relations and International Security and Conflict. He was a Visiting Academic at the University of Waikato and an Endeavour Post-Doctoral Fellow at Australian National University.

He is currently the Adjunct Faculty at University of New South Wales, Australian Defence Force Academy, Canberra; Deputy Chair of the New Zealand Institute of International Affairs, Auckland Branch; and a Fellow at the New Zealand-India Research Institute, Victoria University of Wellington.

Dr Sharma has taught Political Science at Delhi University College and worked with strategic and foreign policy think tanks based in New Delhi, namely the Observer Research Foundation, Centre for Air Power Studies and Centre for Land Warfare Studies. He did his BA (Hons) in Political Science from Ramjas College, Delhi University and MA in Political Science, MPhil, and PhD in American Studies from Jawaharlal Nehru University (JNU), New Delhi.

His broad research is in international relations and security studies with a focus on ethnic lobbying in US foreign policy, US-India relations, Indian foreign and security policy, India's domestic politics, great power relations, Asia-Pacific security, international security with an emphasis on terrorism, nuclear issues, and energy security. He has extensively published chapters in edited collections,
think tank papers and articles in peer reviewed journals such as Asian Affairs, SAIS Review of International Affairs, Israel Affairs, South Asian Survey, and for wider dissemination in the periodicals and reviews such as The Conversation, New Zealand International Review, Georgetown Journal of International Affairs and Australian Outlook.

SKU	Unavailable
ISBN 13	9781668476598
ISBN 10	1668476592
Title	Meta-Learning Frameworks for Imaging Applications
Author	Ashok Sharma
Series	Advances In Computational Intelligence And Robotics Ser
Condition	Unavailable
Binding Type	Hardback
Publisher	IGI Global
Year published	2023-09-30
Number of pages	253
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.