Computational Forensic Imaging and AI-Driven Radiological Diagnostics

Erscheinungsjahr 2026
ISBN: 978-3-032-34091-7
Verlag: Springer

Buch, Englisch, 368 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Studies in Computational Intelligence

This book explores cutting-edge AI algorithms, deep learning techniques, and computer vision applications for forensic and medical image analysis. This book offers an in-depth examination of AI-powered radiology, forensic facial reconstruction, automated pathology detection, and the role of deep learning in crime scene analysis. It bridges the gap between computer science, medicine, and forensic science by discussing real-world case studies, ethical considerations, and future trends. This book is designed for postgraduate students, researchers, forensic scientists, radiologists, and AI engineers; it provides a comprehensive resource for professionals and academics working at the intersection of artificial intelligence, medical imaging, and forensic science.

Zielgruppe

Research

Autoren/Hrsg.

Pandey, Jay Kumar

Ahamad, Shahanawaj

Liu, Haipeng

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Bildgebende Verfahren, Nuklearmedizin, Strahlentherapie Radiologie, Bildgebende Verfahren

Inhaltsverzeichnis

Introduction to Computational Forensic and Radiological Imaging.- Fundamentals of Image Processing for Forensics and Radiology.- Machine Learning and Deep Learning in Image Analysis.- Super Resolution Techniques for Forensic Image Enhancement.- Denoising and Deblurring Algorithms in Forensic Imaging.- Latent Fingerprint and Biometric Image Enhancement.- Deepfake and Image Forgery Detection in Forensic Analysis.- Hyperspectral and Multispectral Imaging for Forensic Investigations.- Deep Learning for Medical Image Enhancement and Reconstruction.- Forensic Radiology and Post-Mortem Imaging.

Über Autor(innen)

Dr. Jay Kumar Pandey is an assistant professor in the Department of Electrical & Electronics Engineering at Shri Ramswaroop Memorial University, Barabanki, U.P., India. He holds a Ph.D., an M.Tech. in Power Control (Instrumentation), and an MBA in Finance and Marketing. With 15 years of teaching and research experience, his areas of interest include Artificial Intelligence, Biomedical & Healthcare, Image Processing, Machine Learning, and Renewable Energy. Dr. Pandey has authored over 30 research papers published in reputed national and international journals, conferences, and book chapters with CRC, NOVA, Taylor & Francis, Springer, and IGI Global. He has also edited several books with publishers like Elsevier, Wiley-IEEE, Apple Academic Press, Bentham Science, IAP, and Cambridge Scholars. Additionally, he serves as an editor of the Journal of Technology Innovations and Energy, U.S.A.

Dr. Shahanawaj Ahamad is an accomplished academician and researcher in software engineering and computer science with 20 years of experience. He holds a Ph.D. in Computer Science from Jamia Millia Islamia, New Delhi, and a D.Sc. from Universidad Azteca, Mexico. Currently, he serves as an associate professor in the Department of Software Engineering at the University of Hail, Saudi Arabia. Dr. Ahamad has published 80 research articles, 15 book chapters, 4 books, and holds 20 patents. His research interests include Software Engineering, AI, IoT, ML, Legacy Systems, Software Aging, and Migration. He is a fellow of the British Computer Society (UK), member of IEEE and ACM, and a life member of the Computer Society of India. He actively contributes as a reviewer and editorial board member for journals from Springer, IGI Global, Inderscience.

Haipeng Liu received his Bachelor and Master in Engineering degrees from Zhejiang University, China, in 2012 and 2015, respectively, and Doctor of Philosophy in Medical Sciences from the Chinese University of Hong Kong, in 2018. From 2019 to 2020, he was a research fellow with the Medical Technology Research Center, Anglia Ruskin University. Since 2020, he has been a research fellow with Coventry University, UK. He is the author of over 60 journal articles and 10 conference papers. He has delivered 12 invited talks for international conferences, universities, and research institutes. He is a receiver of two British Heart Foundation Travel Awards, a director of Studies (Dos) of two Ph.D. students, and an editorial member of six academic journals. He is a reviewer of more than 60 articles from 24 journals, 4 international conferences, and one book proposal.