Download or read book Drug Development Supported by Informatics written by Hiroko Satoh and published by Springer Nature. This book was released on with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence for Data Driven Medical Diagnosis written by Deepak Gupta and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-02-08 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.

Download or read book Complexity and Self Organization written by Carlos Gershenson and published by Frontiers Media SA. This book was released on 2021-05-19 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computational Optical Phase Imaging written by Cheng Liu and published by Springer Nature. This book was released on 2022-04-11 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, computational optical phase imaging techniques are presented along with Matlab codes that allow the reader to run their own simulations and gain a thorough understanding of the current state-of-the-art. The book focuses on modern applications of computational optical phase imaging in engineering measurements and biomedical imaging. Additionally, it discusses the future of computational optical phase imaging, especially in terms of system miniaturization and deep learning-based phase retrieval.

Download or read book Stem Cells in Neurotoxicology written by and published by Elsevier. This book was released on 2024-09-16 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stem Cells in Neurotoxicology, Volume Twelve in the Advances in Neurotoxicology series, presents interesting chapters written by an international board of authors. Chapters in this new release include Brain organoids as a translational model of human developmental neurotoxicity, Self-organizing human neuronal cultures in the modeling of environmental impacts on learning and intelligence, Utilization of human stem cell/neural progenitor tests to examine neurotoxic impacts on differentiation, Characterization of neuronal and other cellular sub-types in human stem cell cortical neuron differentiations, Utility of human stem cell models to study persistent neurotoxicity, and Utility of human stem cell models to study chronic neurotoxicity. - Provides the latest information on Neurotoxicology - Offers outstanding and original reviews on Neurotoxicology - Serves as an indispensable reference for researchers and students alike

Download or read book Technological Innovations in cardiovascular medicine imaging nanotechnology tissue regeneration genetic engineering deep learning and beyond written by Yun Fang and published by Frontiers Media SA. This book was released on 2022-12-08 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Deep Learning Techniques for Music Generation written by Jean-Pierre Briot and published by Springer. This book was released on 2019-11-08 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. The five dimensions of this framework are: objective (the kind of musical content to be generated, e.g., melody, accompaniment); representation (the musical elements to be considered and how to encode them, e.g., chord, silence, piano roll, one-hot encoding); architecture (the structure organizing neurons, their connexions, and the flow of their activations, e.g., feedforward, recurrent, variational autoencoder); challenge (the desired properties and issues, e.g., variability, incrementality, adaptability); and strategy (the way to model and control the process of generation, e.g., single-step feedforward, iterative feedforward, decoder feedforward, sampling). To illustrate the possible design decisions and to allow comparison and correlation analysis they analyze and classify more than 40 systems, and they discuss important open challenges such as interactivity, originality, and structure. The authors have extensive knowledge and experience in all related research, technical, performance, and business aspects. The book is suitable for students, practitioners, and researchers in the artificial intelligence, machine learning, and music creation domains. The reader does not require any prior knowledge about artificial neural networks, deep learning, or computer music. The text is fully supported with a comprehensive table of acronyms, bibliography, glossary, and index, and supplementary material is available from the authors' website.

Download or read book MacSween s Pathology of the Liver E Book written by Alastair D. Burt and published by Elsevier Health Sciences. This book was released on 2022-11-14 with total page 1139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written and edited by an international team of renowned authorities, MacSween's Pathology of the Liver, 8th Edition, remains the field's definitive reference on liver pathology. This must-have text is ideal for surgical pathologists in practice and in training who examine liver specimens on a day-to-day basis. It provides invaluable assistance in recognizing the huge variety of appearances of the liver that result from infections, tumors, and tumor-like lesions, as well as organ damage caused by drugs and toxins. With expert, comprehensive coverage of all malignant and benign hepatobiliary disorders, MacSween's is a convenient, one-stop resource for use in the reporting room as well as in personal study. - Shares the knowledge and experience of a "who's who" list of experts in the field of hepatobiliary pathology, led by editors Alastair D. Burt, Linda D. Ferrell, and Stefan G. Hübscher. - Features more than 1,000 high-quality, full color illustrations, providing a complete visual guide to each tumor or tumor-like lesion. - Discusses advances in molecular diagnostic testing, its capabilities, and its limitations, including targeted/personalized medicine. - Incorporates the latest TNM staging and WHO classification systems, as well as new diagnostic biomarkers and their utility in differential diagnosis, newly described variants, and new histologic entities. - Includes relevant data from ancillary techniques (immunohistochemistry, cytogenetics, and molecular genetics), giving you the necessary tools required to master the latest breakthroughs in diagnostic technology. - Provides you with all of the necessary diagnostic tools to make a complete and accurate pathologic report, including clinicopathologic background throughout. - Directs you to the most recent and authoritative sources for further reading with a comprehensive reference list that highlights key articles and up-to-date citations. - An eBook version is included with purchase. The eBook allows you to access all of the text, figures and references, with the ability to search, customize your content, make notes and highlights, and have content read aloud.

Download or read book Generative Deep Learning written by David Foster and published by "O'Reilly Media, Inc.". This book was released on 2019-06-28 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

Download or read book Deep Learning and Data Labeling for Medical Applications written by Gustavo Carneiro and published by Springer. This book was released on 2016-10-07 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty.The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques.

Download or read book Fluorescence Microscopy in Life Sciences written by Juan Carlos Stockert and published by Bentham Science Publishers. This book was released on 2017-12-15 with total page 751 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fluorescence Microscopy is a precise and widely employed technique in many research and clinical areas nowadays. Fluorescence Microscopy In Life Sciences introduces readers to both the fundamentals and the applications of fluorescence microscopy in the biomedical field as well as biological research. Readers will learn about physical and chemical mechanisms giving rise to the phenomenon of luminescence and fluorescence in a comprehensive way. Also, the different processes that modulate fluorescence efficiency and fluorescence features are explored and explained.

Download or read book Advanced Imaging Methods in Neuroscience written by João O. Malva and published by Frontiers Media SA. This book was released on 2022-01-11 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book From Cell Physiology to Emerging Brain Functions written by Philippe Isope and published by Frontiers Media SA. This book was released on 2020-09-11 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Download or read book Advanced Fluorescence Microscopy written by Peter J. Verveer and published by Humana. This book was released on 2016-08-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides an overview of advanced fluorescence microscopy, covering a broad range of methods. Each chapter focuses on a different method and provides a practical guide for application in biological systems. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Advanced Fluorescence Microscopy: Methods and Protocols seeks to provide scientists with methods for biological systems that are of interest.

Download or read book Make Life Visible written by Yoshiaki Toyama and published by Springer Nature. This book was released on 2019-10-02 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book describes marked advances in imaging technology that have enabled the visualization of phenomena in ways formerly believed to be completelyimpossible. These technologies have made major contributions to the elucidation of the pathology of diseases as well as to their diagnosis and therapy. The volume presents various studies from molecular imaging to clinical imaging. It also focuses on innovative, creative, advanced research that gives full play to imaging technology inthe broad sense, while exploring cross-disciplinary areas in which individual research fields interact and pursuing the development of new techniques where they fuse together. The book is separated into three parts, the first of which addresses the topic of visualizing and controlling molecules for life. Th e second part is devoted to imaging of disease mechanisms, while the final part comprises studies on the application of imaging technologies to diagnosis and therapy. Th e book contains the proceedings of the 12th Uehara International Symposium 2017, “Make Life Visible” sponsored by the Uehara Memorial Foundation and held from June 12 to 14, 2017. It is written by leading scientists in the field and is an open access publication under a CC BY 4.0 license.

Download or read book Computer Vision for Microscopy Image Analysis written by Mei Chen and published by Academic Press. This book was released on 2020-12-01 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you a computer scientist working on image analysis? Are you a biologist seeking tools to process the microscopy data from image-based experiments? Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth discussion of modern computer vision techniques, in particular deep learning, for microscopy image analysis that will advance your efforts. Progress in imaging techniques has enabled the acquisition of large volumes of microscopy data and made it possible to conduct large-scale, image-based experiments for biomedical discovery. The main challenge and bottleneck in such experiments is the conversion of "big visual data" into interpretable information. Visual analysis of large-scale microscopy data is a daunting task. Computer vision has the potential to automate this task. One key advantage is that computers perform analysis more reproducibly and less subjectively than human annotators. Moreover, high-throughput microscopy calls for effective and efficient techniques as there are not enough human resources to advance science by manual annotation. This book articulates the strong need for biologists and computer vision experts to collaborate to overcome the limits of human visual perception, and devotes a chapter each to the major steps in analyzing microscopy images, such as detection and segmentation, classification, tracking, and event detection. Discover how computer vision can automate and enhance the human assessment of microscopy images for discovery Grasp the state-of-the-art approaches, especially deep neural networks Learn where to obtain open-source datasets and software to jumpstart his or her own investigation

Download or read book Confocal Microscopy written by Stephen W. Paddock and published by Springer Science & Business Media. This book was released on 2008-02-03 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Confocal Microscopy Methods and Protocols, Stephen Paddock and a highly skilled panel of experts lead the researcher using confocal techniques from the bench top, through the imaging process, to the journal page. They concisely describe all the key stages of confocal imaging-from tissue sampling methods, through the staining process, to the manipulation, presentation, and publication of the realized image. Written in a user-friendly, nontechnical style, the methods specifically cover most of the commonly used model organisms: worms, sea urchins, flies, plants, yeast, frogs, and zebrafish. Centered in the many biological applications of the confocal microscope, the book makes possible the successful imaging of both fixed and living specimens using primarily the laser scanning confocal microscope. The powerful hands-on methods collected in Confocal Microscopy Methods and Protocols will help even the novice to produce first-class cover-quality confocal images.