Deep Learning in Medical Image Processing and Analysis

Rabie, Khaled (Editor)/ Karthik, Chandran (Editor)/ Chowdhury, Subrata (Editor)/ Dutta, Pushan Kumar (Editor)

ISBN 10: 1839537930 / ISBN 13: 9781839537936

Verlag: Inst of Engineering & Technology, 2023

Beschreibung

400 pages. 9.21x6.14x1.02 inches. In Stock.

Bestandsnummer des Verkäufers x-1839537930

Bibliografische Details

• Titel: Deep Learning in Medical Image Processing and Analysis
• Verlag: Inst of Engineering & Technology
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 1839537930
• ISBN-13: 9781839537936
• Einband: Hardcover
• Zustand: Brand New

Über diesen Titel

Inhaltsangabe

This book introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book discusses multimedia data analysis algorithms and the principles of feature selection, optimisation and analysis. 

Über die Autorinnen und Autoren

Khaled Rabie is a reader at the Department of Engineering at Manchester Metropolitan University, UK. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a fellow of the UK Higher Education Academy and a fellow of the European Alliance for Innovation (EAI). He is an area editor of IEEE Wireless Communications Letters and an editor of IEEE Internet of Things Magazine.

Chandran Karthik is an associate professor of Mechatronics Engineering at Jyothi Engineering College, India. He is a member of the Association for Computing Machinery (ACM), the ACM Special Interest Group on Computer Human Interaction (SIGCHI), and a senior member in IEEE, member in the IEEE Robotics and Automation Society. His research interests include medical robots, sensors, automation, machine learning and artificial intelligence-based optimization for robotics design.

Subrata Chowdhury is with the Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India. He has edited five books in association with the CRC Press and others. He has published more than 50 articles in international and reputed journals. His research interests include data mining, big data, machine learning, quantum computing, fuzzy logic, AI, edge computing, swarm intelligence, and healthcare. He is also an IEEE member.

Pushan Kumar Dutta is an assistant professor at Amity University Kolkata with experience in book editing, proofreading, and research publication. He has published in IEEE conference and Scopus journals. He received the Best Young Faculty in Engineering award from Venus International Foundation Awards (2018) and the Young Researcher Award from IOSRD, India (2018). He is a senior member of IEEE and IET. His research interests include AI, machine ethics, and intelligent systems for biomedical applications.