Description
Discover the transformative potential of Artificial Intelligence in Digital Holographic Imaging, a groundbreaking resource tailored for researchers, biomedical engineers, and AI enthusiasts. This brand-new 2023 volume from John Wiley & Sons Inc explores the intersection of artificial intelligence technology with advanced digital holography, providing comprehensive insights into 3D optical sensing, imaging, and pattern recognition. Dive deep into the technical basis of digital holographic imaging and its biomedical applications that promise to revolutionize cell structure analysis and dynamic studies.
In recent years, AI has reshaped various fields, and this book illustrates how merging AI with digital holography can lead to unprecedented advancements in non-invasive cellular phenotypic screening. By employing deep learning techniques, readers will find detailed discussions on artificial neural networks, convolutional neural networks, and generative adversarial networks, providing a robust framework for implementing intelligent imaging systems.
Explore essential AI algorithms specifically designed for holographic imaging that empower researchers to connect theoretical principles with practical biomedical challenges. Gain insights on automated phenotypic analysis and holographic image classification that will enhance your research and diagnostic capabilities.
Whether you're a seasoned professional or new to the field, 'Artificial Intelligence in Digital Holographic Imaging' offers a wealth of knowledge, practical applications, and advanced methodologies for thriving in this rapidly evolving domain. Embrace the future of biomedical imaging and AI-driven diagnostics with this essential reference guide.
In recent years, AI has reshaped various fields, and this book illustrates how merging AI with digital holography can lead to unprecedented advancements in non-invasive cellular phenotypic screening. By employing deep learning techniques, readers will find detailed discussions on artificial neural networks, convolutional neural networks, and generative adversarial networks, providing a robust framework for implementing intelligent imaging systems.
Explore essential AI algorithms specifically designed for holographic imaging that empower researchers to connect theoretical principles with practical biomedical challenges. Gain insights on automated phenotypic analysis and holographic image classification that will enhance your research and diagnostic capabilities.
Whether you're a seasoned professional or new to the field, 'Artificial Intelligence in Digital Holographic Imaging' offers a wealth of knowledge, practical applications, and advanced methodologies for thriving in this rapidly evolving domain. Embrace the future of biomedical imaging and AI-driven diagnostics with this essential reference guide.