Biomedical Imaging Technology (eBook)

Signal Processing Strategies and Innovations

Ayush Dogra, Shalli Rani, Ankita Sharma (Herausgeber)

eBook Download: PDF

2025
275 Seiten
Wiley-IEEE Press (Verlag)
978-1-394-34807-7 (ISBN)

Infos

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.

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.

Produkt-Details

• Erscheint lt. Verlag: 17.11.2025
• Sprache: englisch
• Themenwelt: Medizin / Pharmazie ► Medizinische Fachgebiete
• Schlagworte: Biomedical imaging ai • biomedical imaging ai case studies • biomedical imaging deep learning • biomedical imaging deep learning case studies • biomedical imaging machine learning • biomedical imaging machine learning case studies • mri ai • x-ray ai
• ISBN-10: 1-394-34807-X / 139434807X
• ISBN-13: 978-1-394-34807-7 / 9781394348077