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Selected Topics In Image Science


Selected Topics In Image Science
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Selected Topics In Image Science


Selected Topics In Image Science
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Author : O. Nalcioglu
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Selected Topics In Image Science written by O. Nalcioglu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Medical categories.


The continuing growth of computed tomography (CT) and other imaging techniques motivated us to bring together a comprehensive review of the state of the art in diagnostic imaging. Twelve years after the first appearance of x-ray CT, computerized diagnostic imaging has grown so rapidly in sophistication that it is difficult to follow current developments in this diversified field. In this book, we have attempted to cover the basic developments in several areas. The first part includes some of the fundamental aspects of computerized diagnostic imaging such as algorithms and detectors. Specific applications in emission tomography, digital radiography, ultrasound and nuclear magnetic resonance imaging are dealt with in the secondpart. The contributed papers are by experts currently in the field, whom we feel would certainly enlighten the subject matter and possibly suggest directions for future development. We would like to express our sincere thanks to those who have contributed to this volume. We are sure that their original papers will be beneficial for readers and will also remain as an important reference for researchers in the years to come. We would also like to thank Betty Trent for her expert and patient typing of the entire book. Finally, special thanks are due to Mrs. Ingeborg Mayer of Springer-Verlag for her encouragements, support and patience throughout the preparation of this book.



New Developments In Quantitative Coronary Arteriography


New Developments In Quantitative Coronary Arteriography
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Author : Johan H. C. Reiber
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

New Developments In Quantitative Coronary Arteriography written by Johan H. C. Reiber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Medical categories.


There are few techniques that have influenced therapeutic strategies in modem cardiology to a similar extent as coronary arteriography. Bypass surgery as well as transluminal coronary angioplasty would not have been possible without coronary angiography serving as a 'midwife' in their evolu tion. Despite the widespread and long-standing use in clinical practice, however, the interpretation of coronary angiograms has not changed very much since the early days. Most angiogr~s are still reviewed in a visual and semi-quantitative and thus often very subjective way. In the face of an almost exploding field for interventional catheterization including thrombolysis, balloon dilatation, and other rapidly evolving techniques for transluminal revascularization or recanalization, a more detailed and quantitative analysis of coronary arteriograms is urgently required. In addition to the delineation of coronary morphology, we need dynamic and functional information about flow and perfusion to understand the physiological significance of anatomic abnormalities. Coronary arteriography contains and can provide most of this information. With the application of appropriate techniques, it can be made available in the catheterization laboratory even during the patient's investiga tion, thus facilitating and improving clinical decision making. Objective and reproducible analysis will furthermore enhance our understanding about the pathophysiology of coronary disease.



Current Catalog


Current Catalog
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Author : National Library of Medicine (U.S.)
language : en
Publisher:
Release Date :

Current Catalog written by National Library of Medicine (U.S.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Medicine categories.


First multi-year cumulation covers six years: 1965-70.



Optics Education


Optics Education
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Author :
language : en
Publisher:
Release Date : 1994

Optics Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Optics categories.




Advances In Machine Learning And Image Analysis For Geoai


Advances In Machine Learning And Image Analysis For Geoai
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Author : Saurabh Prasad
language : en
Publisher: Elsevier
Release Date : 2024-04-26

Advances In Machine Learning And Image Analysis For Geoai written by Saurabh Prasad and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Science categories.


Advances in Machine Learning and Image Analysis for GeoAI provides state-of-the-art machine learning and signal processing techniques for a comprehensive collection of geospatial sensors and sensing platforms. The book covers supervised, semi-supervised and unsupervised geospatial image analysis, sensor fusion across modalities, image super-resolution, transfer learning across sensors and time-points, and spectral unmixing among other topics. The chapters in these thematic areas cover a variety of algorithmic frameworks such as variants of convolutional neural networks, graph convolutional networks, multi-stream networks, Bayesian networks, generative adversarial networks, transformers and more.Advances in Machine Learning and Image Analysis for GeoAI provides graduate students, researchers and practitioners in the area of signal processing and geospatial image analysis with the latest techniques to implement deep learning strategies in their research. - Covers the latest machine learning and signal processing techniques that can effectively leverage multimodal geospatial imagery at scale - Chapters cover a variety of algorithmic frameworks pertaining to GeoAI, including superresolution, self-supervised learning, data fusion, explainable AI, among others - Presents cutting-edge deep learning architectures optimized for a wide array of geospatial imagery



Proceedings Of Second Doctoral Symposium On Computational Intelligence


Proceedings Of Second Doctoral Symposium On Computational Intelligence
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Author : Deepak Gupta
language : en
Publisher: Springer Nature
Release Date : 2021-09-19

Proceedings Of Second Doctoral Symposium On Computational Intelligence written by Deepak Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-19 with Technology & Engineering categories.


This book features high-quality research papers presented at Second Doctoral Symposium on Computational Intelligence (DoSCI-2021), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on 6 March 2021. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making.



Advances In Data Science


Advances In Data Science
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Author : Ilke Demir
language : en
Publisher: Springer Nature
Release Date : 2021-12-03

Advances In Data Science written by Ilke Demir and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-03 with Mathematics categories.


This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Research Collaboration Workshop that took place between July 16 and 20, 2018 at Trier University in Robert-Schuman-Haus, Trier, Germany. These submissions, seeded by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of domains, ranging from theoretical analysis on graph neural networks to applications in health science. It also presents original results tackling real-world problems that often involve complex data analysis on large multi-modal data sources.



Journal Of Imaging Science


Journal Of Imaging Science
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Author :
language : en
Publisher:
Release Date : 1991

Journal Of Imaging Science written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Image processing categories.




Color Imaging


Color Imaging
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Author : Erik Reinhard
language : en
Publisher: CRC Press
Release Date : 2008-07-22

Color Imaging written by Erik Reinhard and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-22 with Computers categories.


This book provides the reader with an understanding of what color is, where color comes from, and how color can be used correctly in many different applications. The authors first treat the physics of light and its interaction with matter at the atomic level, so that the origins of color can be appreciated. The intimate relationship between energy levels, orbital states, and electromagnetic waves helps to explain why diamonds shimmer, rubies are red, and the feathers of the Blue Jay are blue. Then, color theory is explained from its origin to the current state of the art, including image capture and display as well as the practical use of color in disciplines such as computer graphics, computer vision, photography, and film.



Deep Learning For Multi Sensor Earth Observation


Deep Learning For Multi Sensor Earth Observation
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Author : Sudipan Saha
language : en
Publisher: Elsevier
Release Date : 2025-02-03

Deep Learning For Multi Sensor Earth Observation written by Sudipan Saha and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-03 with Technology & Engineering categories.


Deep Learning for Multi-Sensor Earth Observation addresses the need for transformative Deep Learning techniques to navigate the complexity of multi-sensor data fusion. With insights drawn from the frontiers of remote sensing technology and AI advancements, it covers the potential of fusing data of varying spatial, spectral, and temporal dimensions from both active and passive sensors. This book offers a concise, yet comprehensive, resource, addressing the challenges of data integration and uncertainty quantification from foundational concepts to advanced applications. Case studies illustrate the practicality of deep learning techniques, while cutting-edge approaches such as self-supervised learning, graph neural networks, and foundation models chart a course for future development.Structured for clarity, the book builds upon its own concepts, leading readers through introductory explanations, sensor-specific insights, and ultimately to advanced concepts and specialized applications. By bridging the gap between theory and practice, this volume equips researchers, geoscientists, and enthusiasts with the knowledge to reshape Earth observation through the dynamic lens of deep learning. - Addresses the problem of unwieldy datasets from multi-sensor observations, applying Deep Learning to multi-sensor data integration from disparate sources with different resolution and quality - Provides a thorough foundational reference to Deep Learning applications for handling Earth Observation multi-sensor data across a variety of geosciences - Includes case studies and real-world data/examples allowing readers to better grasp how to put Deep Learning techniques and methods into practice