
Deep Learning in Medical Image Processing and Analysis by Khaled Rabie
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.-
Handbook of Cybersecurity for e-Health
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Enhanced Living Environments
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Health Informatics
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Introduction to Biomechatronics
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Biomedical Nanomaterials
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Applications of Artificial Intelligence in E-Healthcare Systems
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Human Monitoring, Smart Health and Assisted Living
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Medical Information Processing and Security
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Blockchain Technology in e-Healthcare Management
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Wearable Technologies and Wireless Body Sensor Networks for Healthcare
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Exploring Intelligent Healthcare with Quantum Computing
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Wireless Medical Sensor Networks for IoT-based eHealth
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Machine Learning for Healthcare Technologies
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Security and Privacy of Electronic Healthcare Records
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Control of Prosthetic Hands
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Advances in Telemedicine for Health Monitoring
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Value-based Learning Healthcare Systems
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Neurotechnology
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Blockchain and Machine Learning for e-Healthcare Systems
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Soft Robots for Healthcare Applications
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Portable Biosensors and Point-of-Care Systems
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Semiconductor Lasers and Diode-based Light Sources for Biophotonics
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Patient-Centered Digital Healthcare Technology
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Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video
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Secure Big-data Analytics for Emerging Healthcare in 5G and Beyond
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Explainable Artificial Intelligence in Medical Decision Support Systems
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Evolving Predictive Analytics in Healthcare
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Applications of Machine Learning in Digital Healthcare
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Active and Assisted Living
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Engineering High Quality Medical Software
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AI, Numerical Optimization, IoT and Blockchain for Healthcare 4.0
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Artificial Intelligence and Blockchain Technology in Modern Telehealth Systems
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Energy Harvesting Solutions for Implantable Medical Devices
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The Internet of Medical Things
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Techniques and Technologies in Electrical Stimulation for Neuromuscular Rehabilitation
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Medical Equipment Engineering
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Innovations in Healthcare Informatics
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Blockchain for 5G Healthcare Applications
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Technologies and Techniques in Gait Analysis
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Digital Methods and Tools to Support Healthy Ageing
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Smart Health Technologies for the COVID-19 Pandemic
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Mobile Technologies for Delivering Healthcare in Remote, Rural or Developing Regions
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Technologies for Healthcare 4.0
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Digital Twin Technologies for Healthcare 4.0
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Technology-Enabled Motion Sensing and Activity Tracking for Rehabilitation
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Cybersecurity in Emerging Healthcare Systems
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Medical Imaging Informatics
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.
| SKU | Unavailable |
| ISBN 13 | 9781839537936 |
| ISBN 10 | 1839537930 |
| Title | Deep Learning in Medical Image Processing and Analysis |
| Author | Khaled Rabie |
| Series | Healthcare Technologies |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Institution of Engineering and Technology |
| Year published | 2023-10-24 |
| Number of pages | 376 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |














































