03686nam a22004455i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001300172050001400185072001600199072002300215072001500238245008200253250001800335264007500353300006700428336002600495337002600521338003600547347002400583505117300607520100901780650003602789650003602825650003802861700008102899710003402980773002603014776003603040776003603076776003603112856004603148912001403194912001503208999001703223978-3-031-46238-2DE-He21320251030111501.0cr nn 008mamaa240305s2024 sz | s |||| 0|eng d a97830314623829978-3-031-46238-27 a10.1007/978-3-031-46238-22doi 4aQ334-342 4aTA347.A78 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema10aApplications of Generative AIh[electronic resource] /cedited by Zhihan Lyu. a1st ed. 2024. 1aCham :bSpringer International Publishing :bImprint: Springer,c2024. aVII, 617 p. 209 illus., 188 illus. in color.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda0 a1. AI deep learning generative models for drug discovery -- 2. Generative AI in Medical Image Analysis -- 3. Transformer GAN for Fast MRI -- 4. Synthetic Data as a Tool to Combat Racial Bias in Medical AI: Utilizing Zero- Shot Text-to-Image Generative Models for Optimizing Skin Cancer Classifier Performance -- 5. Generative AI in Medical Imaging and its application in Low dose CT Image Denoising -- 6. Generative AI and drug discovery -- 7. Generative Adversarial Networks for medical imaging applications -- 8. Demoing laparoscopy surgery images using an GANs -- 9. Use of Generative Adversarial Network in Radiology -- 10. Generative Style Transfer in Histopathology -- 11. Generative adversarial networks s for Image Rendering -- 12. The ArtBench Dataset: Benchmarking Generative Models with Artworks -- 13. Generative Models for Culture-Aware Human-Robot Interaction -- 14. Generating Artistic Portrait Drawings from Images -- 15. Generative Models for Image Processing -- 16. Generative AI to understand complex ecological interactions -- 17. Generative AI for Architecture -- 18. Data augmentation of construction industry with Generative Adversarial Network. aThis book provides a comprehensive introduction to Generative AI in terms of basic concepts, core technologies, technical architecture, and application scenarios. Readers gain a deeper understanding of the emerging discipline of Generative AI. This book covers the latest cutting-edge application technologies of Generative AI in various fields. It provides relevant practitioners with ideas to solve problems and deepen their understanding of Generative AI. At the same time, it guides and helps Generative AI and related industries to deepen their understanding of the industry and enhance professional knowledge and skills. Starting from reality, this book lists many cases and analyzes theories in a popular image. The book is useful for AI researchers and specifically for those working with the applications at hand (primarily medical imaging and construction/twinning industry). It covers a variety of cutting-edge technologies in Generative AI, which provides researchers with new research ideas. 0aArtificial intelligence.95844114aArtificial Intelligence.95844124aIntelligence Augmentation.9701651 aLyu, Zhihan.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9724282 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303146237508iPrinted edition:z978303146239908iPrinted edition:z978303146240540uhttps://doi.org/10.1007/978-3-031-46238-2 aZDB-2-SCS aZDB-2-SXCS c58110d58110