Products related to Image:
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Deep Learning for Biomedical Image Reconstruction
Discover the power of deep neural networks for image reconstruction with this state-of-the-art review of modern theories and applications.The background theory of deep learning is introduced step-by-step, and by incorporating modeling fundamentals this book explains how to implement deep learning in a variety of modalities, including X-ray, CT, MRI and others.Real-world examples demonstrate an interdisciplinary approach to medical image reconstruction processes, featuring numerous imaging applications.Recent clinical studies and innovative research activity in generative models and mathematical theory will inspire the reader towards new frontiers.This book is ideal for graduate students in Electrical or Biomedical Engineering or Medical Physics.
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Deep Learning for Medical Image Analysis
Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis.Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications.This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis.
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The Networked Image in Post-Digital Culture
This collection examines how the networked image establishes new social practices for the user and presents new challenges for cultural practitioners engaged in making, curating, teaching, exhibiting, archiving and preserving born-digital objects. The mode of vision and imaging, established through photography over the previous two centuries, has and continues to be radically reconfigured by a hybrid of algorithms, computing, programmed capture and display devices, and an array of online platforms.The image under these new conditions is filtered, fluid, fleeting, permeable, mobile and distributed and is changing our ways of seeing.The chapters in this volume are the outcome of research conducted at the Centre for the Study of the Networked Image (CSNI) and its collaboration with The Photographers’ Gallery over the last ten years.The book's contributors investigate radical changes in the meanings and values of hybridised media in socio-technical networks and speak to the creeping automation of culture through applications of AI, social media platforms and the financialisation of data. This interdisciplinary collection draws upon media and cultural studies, art history, art practice, photographic theory, user design, animation, museology and computer science as a way of making sense of the specific cultural consequences of the rapid succession of changes in image technologies and to bring the story up to date.It will be of particular interest to scholars and students of visual culture, media studies and photography.
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Machine Learning-Based Hyperspectral Image Process ing
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What is image exchange?
Image exchange refers to the process of sharing and transferring medical images, such as X-rays, MRIs, and CT scans, between healthcare providers and facilities. This allows for the seamless exchange of patient images for diagnostic and treatment purposes, regardless of the location of the healthcare providers. Image exchange is typically facilitated through secure electronic systems and platforms, ensuring patient privacy and data security. This technology enables healthcare providers to collaborate and make informed decisions about patient care based on the analysis of medical images.
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Is image exchange normal?
Yes, image exchange is a common and normal form of communication in today's digital age. People often share images with friends and family through messaging apps, social media platforms, and email to convey emotions, share experiences, and stay connected. It has become a popular way to express oneself and share moments with others in a quick and visual manner.
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What is the image exchange 99?
The Image Exchange 99 is a platform that allows users to share and exchange images online. It provides a space for individuals to upload, view, and download images, creating a community of image enthusiasts. Users can interact with each other through comments and likes on the images shared on the platform. The Image Exchange 99 aims to foster creativity, inspiration, and collaboration among its users through the sharing of visual content.
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What is the image exchange 152?
Image exchange 152 is a platform that allows users to share and exchange images with each other. It provides a space for individuals to upload their own images and view images uploaded by others. Users can interact with the images through likes, comments, and sharing. Image exchange 152 is a way for people to connect and engage with visual content in a social and collaborative manner.
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Image Science : Iconology, Visual Culture, and Media Aesthetics
Almost thirty years ago, W. J. T. Mitchell's Iconology helped launch the interdisciplinary study of visual media, now a central feature of the humanities.Along with his subsequent Picture Theory and What Do Pictures Want?, Mitchell's now-classic work introduced such ideas as the pictorial turn, the image/picture distinction, the metapicture, and the biopicture.These key concepts imply an approach to images as true objects of investigation--”an "image science." Continuing with this influential line of thought, Image Science gathers Mitchell's most recent essays on media aesthetics, visual culture, and artistic symbolism.The chapters delve into such topics as the physics and biology of images, digital photography and realism, architecture and new media, and the occupation of space in contemporary popular uprisings.The book looks both backward at the emergence of iconology as a field and forward toward what might be possible if image science can indeed approach pictures the same way that empirical sciences approach natural phenomena. Essential for those involved with any aspect of visual media, Image Science is a brilliant call for a method of studying images that overcomes the "two-culture split" between the natural and human sciences.
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Advances in Deep Learning for Medical Image Analysis
This reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases. The text addresses a wide variety of application areas in medical imaging where deep learning techniques provide solutions with lesser human intervention and reduced time.It comprehensively covers important machine learning for signal analysis, deep learning techniques for cancer detection, diabetic cases, skin image analysis, Alzheimer’s disease detection, coronary disease detection, medical image forensic, fetal anomaly detection, and plant phytology.The text will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.
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Generative Machine Learning Models in Medical Image Computing
Generative Machine Learning Models in Medical Image Computing" provides a comprehensive exploration of generative modeling techniques tailored to the unique demands of medical imaging.This book presents an in-depth overview of cutting-edge generative models such as GANs, VAEs, and diffusion models, examining how they enable groundbreaking applications in medical image synthesis, reconstruction, and enhancement.Covering diverse imaging modalities like MRI, CT, and ultrasound, it illustrates how these models facilitate improvements in image quality, support data augmentation for scarce datasets, and create new avenues for predictive diagnostics. Beyond technical details, the book addresses critical challenges in deploying generative models for healthcare, including ethical concerns, interpretability, and clinical validation.With a strong focus on real-world applications, it includes case studies and implementation guidelines, guiding readers in translating theory into practice.By addressing model robustness, reproducibility, and clinical utility, this book is an essential resource for researchers, clinicians, and data scientists seeking to leverage generative models to enhance biomedical imaging and deliver impactful healthcare solutions.Combining technical rigor with practical insights, it offers a roadmap for integrating advanced generative approaches in the field of medical image computing.
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The Consumption of Culture 1600-1800 : Image, Object, Text
Culture does not become 'culture' until it is consumed.This is the radical new interpretation of early modern social history presented in The Consumption of Culture 1600-1800. Leading specialists from North America and Europe explore topics such as the formation of a culture consuming public, the development of a literary canon, the role of consumption in the formation of the modern state, elite and popular forms of cultural consumption and the place of women as consumers of culture.The result is an important and rich new approach to the study of the seventeenth and eighteenth centuries.
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What is the image exchange 230?
The Image Exchange 230 is a system used by financial institutions to exchange digital images of checks instead of physically transporting paper checks. This system allows for faster processing and settlement of checks, as well as reducing the risk of fraud and errors associated with paper checks. It also enables banks to provide their customers with quicker access to funds and more efficient check processing services.
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What is the image exchange 77?
Image Exchange 77 is a platform where photographers can share their work and receive feedback from other photographers. It allows users to upload their images, view and comment on other photographers' work, and engage in discussions about photography techniques and styles. The platform aims to create a community of photographers who can learn from each other and improve their skills through constructive criticism and support.
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What is the image exchange 92?
Image Exchange 92 is a platform that allows users to exchange images with others in a quick and efficient manner. It provides a simple way for users to share images with friends, family, or colleagues without the need for lengthy email attachments or file transfers. Users can upload images to the platform and easily share them with others by providing a unique link.
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What is the image exchange 245?
Image exchange 245 is a standardized format used for the electronic exchange of medical images and related information. It allows healthcare providers to share medical images such as X-rays, MRIs, and CT scans with other providers and facilities, enabling better collaboration and more efficient patient care. The format ensures that the images can be viewed and interpreted accurately across different systems and software platforms, promoting interoperability and seamless communication within the healthcare industry.
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