University Textbooks      Medicine & Health Sciences

Smart Medical Imaging for Diagnosis and Treatment Planning

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Book Details
Language
English
Publishers
Chapman and Hall/CRC; 1st edition (2 Aug. 2024)
Weight
0.54 KG
Publication Date
31/07/2024
ISBN-10
1032735023
Pages
258 pages
ISBN-13
9781032735023
Dimensions
15.6 x 1.6 x 23.39 cm
SKU
9781032735023
Author Name
Nilanjan Dey (Editor)
Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence , IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (SpringerNature), Data-Intensive Research(SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is an associate editor of IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature, Applied Soft Computing, Elsevier etc. He is having 110 books and over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. (over 16000 Citations, 63 h-index). He is the Indian Ambassador of the International Federation for Information Processing—Young ICT Group and Senior member of IEEE.Read more about this authorRead less about this author
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This book presents advanced research on smart health technologies, focusing on the innovative transformations in diagnosis and treatment planning using medical imaging and data analysed by data science techniques. It shows how smart health technologies leverage artificial intelligence (AI) and big data analytics to provide more accurate and efficient diagnosis and treatment planning.

In search for innovative and novel methods and techniques for health technologies and medical data processing, the book • Discusses applications of Artificial Intelligence, Data Science, Machine Learning, Deep Learning, the Internet of Things, Big Data, Cloud Computing;• Includes use of electronic patient records in healthcare, analysis of big data in medical diagnosis, reliability, and challenges of EPR and EHR in smart healthcare;• Explores evolving techniques for smart healthcare, its application in medical imaging and prediction in the fields of treatment planning;• Provides recent studies in AI-driven healthcare technologies and medical imaging to outline insight into smart healthcare technologies;• Discusses the role of big data in smart healthcare, computing techniques for healthcare for medical diagnosis and treatment planning;• Encompasses the ethical and legal challenges of using smart healthcare and medical data. This book serves as a valuable reference for researchers working on smart health technologies.

Researchers of medical imaging, artificial intelligence, and data science along with healthcare domain will find it a great resource as well. .

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