Ankita Sharma - Böcker

With blockchain underpinning cryptocurrencies and improving IoT security, this book uncovers the evolution of blockchain (1.0 to 4.0) and its applications. It also introduces AI, discussing its development, paradigms, and industry-wide impact. The book explores the integration of cryptography, blockchain, and artificial intelligence (AI) in areas such as big data, bioinformatics, IoT, 5G, and Industry 4.0. It highlights how these technologies drive the digital revolution, enabling multi-agent systems, autonomous models, and enhanced security.

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 navigationPractical discussions of emerging trends in the field and up-and-coming innovationsCase studies and practical examples from real-world locationsPerfect 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.