Biomedical Imaging Technology: Signal Processing Strategies and Innovations - Hardcover

Hardcover

ISBN 10: 1394348053 ISBN 13: 9781394348053

Publisher: Wiley-IEEE Press, 2025

Synopsis

Explore emerging applications for AI, machine learning, and deep learning in biomedical imaging technologies

In Biomedical Imaging Technology, a team of distinguished researchers deliver an expert discussion on the application of imaging and signal processing techniques to healthcare technologies like X-ray, MRI, CT, ultrasound, and others. Beginning with an introduction to biomedical imaging, the book goes on to explain more advanced imaging technologies, such as molecular and optical imaging.

This book provides a blend of theory and practical applications, exploring the role of AI and AI algorithms in enhancing diagnostic accuracy. It discusses machine and deep learning approaches for improving computer-aided diagnosis systems and the integration of signal processing within various imaging modalities.

Readers will also find:

• A thorough introduction to contemporary approaches to optical imaging, including fluorescence imaging, photoacoustic imaging, and Optical Coherence Tomography (OCT)
• Comprehensive explorations of image-guided interventions, theranostics in cancer treatment, and advancements in surgical navigation
• Practical discussions of emerging trends in the field and up-and-coming innovations
• Case studies and practical examples from real-world locations

Perfect for researchers in biomedical engineering, imaging, and signal processing, Biomedical Imaging Technology will also benefit undergraduate and graduate students studying electrical engineering subjects, such as biomedical imaging and signal processing.

About this title

About the Author

Ayush Dogra, PhD, is an Assistant Director at Chitkara University, Punjab, India. His research areas include image fusion, image enhancement, image registration, and image denoising.

Shalli Rani, PhD, is a Professor and Director at Chitkara University, Punjab, India. She is a Senior Member of the IEEE and her research interests include Internet of Things, WSN, cloud computing, network security, and machine learning.

Ankita Sharma, PhD, is an Assistant Professor at Chitkara University, Punjab, India. She has authored numerous national and international publications in peer-reviewed journals.

From the Back Cover

Explore emerging applications for AI, machine learning, and deep learning in biomedical imaging technologies

In Biomedical Imaging Technology, a team of distinguished researchers deliver an expert discussion on the application of imaging and signal processing techniques to healthcare technologies like X-ray, MRI, CT, ultrasound, and others. Beginning with an introduction to biomedical imaging, the book goes on to explain more advanced imaging technologies, such as molecular and optical imaging.

This book provides a blend of theory and practical applications, exploring the role of AI and AI algorithms in enhancing diagnostic accuracy. It discusses machine and deep learning approaches for improving computer-aided diagnosis systems and the integration of signal processing within various imaging modalities.

Readers will also find:

• A thorough introduction to contemporary approaches to optical imaging, including fluorescence imaging, photoacoustic imaging, and Optical Coherence Tomography (OCT)
• Comprehensive explorations of image-guided interventions, theranostics in cancer treatment, and advancements in surgical navigation
• Practical discussions of emerging trends in the field and up-and-coming innovations
• Case studies and practical examples from real-world locations

Perfect for researchers in biomedical engineering, imaging, and signal processing, Biomedical Imaging Technology will also benefit undergraduate and graduate students studying electrical engineering subjects, such as biomedical imaging and signal processing.

Edition details

• Publisher: Wiley-IEEE Press
• Publication date: 2025
• Language: English
• ISBN 10: 1394348053
• ISBN 13: 9781394348053
• Binding: Hardcover
• Edition number: 1
• Number of pages: 272
• Editor: Dogra Ayush, Rani Shalli, Sharma Ankita