eBook, PDF

Smart Medical Imaging for Diagnosis and Treatment Planning (eBook, PDF)

Beschreibung

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.

Technische Details

• Geräte: PC
• mit Kopierschutz

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• Seitennummerierung folgt dem gedruckten Werk
• Kurze Alternativtexte für nicht-textuelle Inhalte vorhanden
• Navigierbarer Index mit direktem Zugriff auf Indexbegriffe
• Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien

Autor

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 was an associate editor of IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature. He is an editorial board member of Applied Soft Computing, Elsevier. He is having 35 authored books and over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Fellow of IETE and Senior member of IEEE. Bitan Misra is currently working as an Assistant Professor, in Dept. of CSE, Techno International New Town, Kolkata, India. She received her B. Tech and M. Tech dual degree in Electronics and Telecommunication Engineering from KIIT University, Bhubaneswar, India in 2018. She received her Ph.D. in 2022 from National Institute of Technology, Durgapur, India. She received a Gold Medal during her UG for securing the highest CGPA in the university. She has published almost 15 research papers in various international journals and conferences and has three copyrights. Her main research interests include optimization techniques, deep learning, evolutionary algorithms and soft computing techniques. She has worked as a reviewer in several national and international journals and conferences. She is an Associate Editor of International Journal of Ambient Computing and Intelligence, IGI Global. She is a member of IEEE and Internet Society. Sayan Chakraborty is currently working as a Assistant Professor in the Department of Computer Science and Engineering at the Techno International New Town, West Bengal, India. He has completed his Ph.D. in Image registration from Sikkim Manipal University in the year 2023. He has completed M.Tech from Computer Science & Engineering, JIS College of Engineering. He also completed his B. Tech. from the same college. He has academic experience of 10 years. His research area includes digital image processing, nature inspired algorithms and machine learning. He has about 65 research papers published in international journals, book chapters and conferences on various topics such as optimization, artificial intelligence, pattern recognition and digital image processing. He has 1 book published in Springer. He is an Associate Editor of International Journal of Ambient Computing and Intelligence, IGI Global and Editorial Board member of International Journal of Rough Sets and Data Analysis (IJRSDA) , IGI Global. He is a senior member of IEEE.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 258
• Erscheinungstermin: 31. Juli 2024
• Englisch
• ISBN-13: 9781040105627
• Artikelnr.: 72272305