الصفحة 1
الصفحة 1
Multimedia Technology and Enhanced Learning ; 2nd EAI International Conference, ICMTEL 2020, Leicester, UK, April 10-11, 2020, Proceedings, Part I
This two-volume book constitutes the refereed proceedings of the Second International Conference on Multimedia Technology and Enhanced Learning, ICMTEL 2020, held in Leicester, United Kingdom, in April 2020. Due to the COVID-19 pandemic all papers were presented in YouTubeLive. The 83 revised full papers have been selected from 158 submissions. They describe new learning technologies which range from smart school, smart class and smart learning at home and which have been developed from new technologies such as machine learning, multimedia and Internet of Things.
MDCT and 3D Workstations : A Practical How-To Guide and Teaching File
Written by Scott A. Lipson, MD, an authority in the field, this book is ideal for radiologists, radiology residents, and CT technologists who are getting started in multidetector CT or who want to improve and optimize their CT service. This concise guide and teaching file is the perfect introduction to MDCT volumetric imaging and 3D workstations. Intended to serve as a practical, easy-to-read systematic learning tool, the book begins by introducing the reader to the process of image data acquisition, CT protocols, image reconstruction and review, 3D workstations, clinical workstation use, and CT workflow efficiency. The second section of this book is a volumetric imaging teaching file.
Inverse Problems and Imaging : Lectures given at the C.I.M.E. Summer School held in Martina Franca, Italy September 15–21, 2002
Nowadays we are facing numerous and important imaging problems: nondestructive testing of materials, monitoring of industrial processes, enhancement of oil production by efficient reservoir characterization, emerging developments in noninvasive imaging techniques for medical purposes - computerized tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), X-ray and ultrasound tomography, etc. In the CIME Summer School on Imaging (Martina Franca, Italy 2002), leading experts in mathematical techniques and applications presented broad and useful introductions for non-experts and practitioners alike to many aspects of this exciting field. The volume contains part of the above lectures completed and updated by additional contributions on other related topics: a general presentation and introduction (Moscoso), X-ray tomography (Natterer), Electromagnetic imaging (Dorn, Bertete-Aguirre, Papanicolaou), coherent imaging in telecommunications in a multiple input-multiple output setup (Dorn), polarization based optical imaging (Moscoso), topological derivatives used in shape reconstruction related to inverse scattering problems (Carpio, Rapún), Point interactions (Dell’Antonio, Figari, Teta).
Intelligent Computing Theories and Application ; 17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part I
The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.”
Image Analysis ; 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-24, 2007, Proceedings
The present volume contains the proceedings of the Scandinavian Conference on Image Analysis, SCIA 2007, held at Hotel Hvide Hus, Aalborg, Denmark, June 10–14, 2007. Initiated in 1979 by Torleiv Orhaug in Sweden, SCIA 2007 represented the 15th in the biennial series of conferences.
Handbook of Mathematical Models in Computer Vision
In this edited volume we present the most prominent mathematical models that are considered in computational vision. To this end, tasks of increasing complexity are considered and we present the state-of-the-art methods to cope with such tasks. The volume consists of six thematic areas that provide answers to the most dominant questions of computational vision: Image reconstruction, Segmentation and object extraction, Shape modeling and registration, Motion analysis and tracking, 3D from images, geometry and reconstruction Applications in medical image analysis
Emergency Radiology : Imaging and Intervention
There is an increasing trend towards the use of tries, hospital emergency departments have become a MDCT to evaluate traumatic injuries and non-traumatic major part of the healthcare safety net. In the last decade emergencies. The use of workstations for reporting and for economically-driven structural changes in health care further image reconstruction becomes standard practice. delivery have caused a dramatic increase in emergency On the occasion of the European Congress of Radiology department visits. In response to capacity and staffing (ECR) 2003 and 2004 a Categorical Course on “Emergency pressures, hospitals are developing and implementing a Radiology”has been organized to assess current devel- variety of strategies designed to improve patient flow and ments and concepts in this rapidly growing field. reduce overcrowding in the emergency department. Numerous radiologists,all outstanding and international- Several factors are considered critical for success, such as ly renowned experts in their field,have made superb c- having the right multidisciplinary teams in place and opti- tributions in an ECR syllabus.
Document Analysis Systems VII ; 7th International Workshop, DAS 2006, Nelson, New Zealand, February 13-15, 2006, Proceedings
This book constitutes the refereed proceedings of the 7th International Conference on Document Analysis Systems, DAS 2006, held in Nelson, New Zealand, in February 2006.
Machine learning, image processing, network security and data sciences ; 2nd International conference, MIND 2020, Silchar, India, July 30 - 31, 2020, Proceedings, Part I
This two-volume set (CCIS 1240-1241) constitutes the refereed proceedings of the Second International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2020, held in Silchar, India. Due to the COVID-19 pandemic the conference has been postponed to July 2020. The 79 full papers and 4 short papers were thoroughly reviewed and selected from 219 submissions. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cyber security.
Complex Motion ; 1st International Workshop, IWCM 2004, Günzburg, Germany, October 12-14, 2004, Revised Papers
The world we live in is a dynamic one: we explore it by moving through it, and many of the objects which we are interested in are also moving. Trafic, for instance, is an example of a domain where detecting and processing visual motion is of vital interest, both in a metaphoric as well as in a purely literal sense. Visual communication is another important example of an area of science which is dominated by the need to measure, understand, and represent visual motion in an eficient way. Visual motion is a subject of research which forces the investigator to deal with complexity; complexity in the sense of facing efiects of motion in a very large diversity of forms, starting from analyzing simple motion in a changing envir- ment (illumination, shadows, . . . ), under adverse observation conditions, such as bad signal-to-noiseratio (low illumination, small-scaleprocesses, low-dosex-ray, etc. ), covering also multiple motions of independent objects, occlusions, and - ing as far as dealing with objects which are complex in themselves (articulated objects such as bodies of living beings). The spectrum of problems includes, but does not end at, objects which are not ‘bodies’ at all, e. g. , when anal- ing fiuid motion, cloud motion, and so on. Analyzing the motion of a crowd in a shopping mall or in an airport is a further example that implies the need to struggle against the problems induced by complexity.
Buried Waste in the Seabed – Acoustic Imaging and Bio-Toxicity : Results from the European SITAR Project
Buried waste on the seabed is a major source of pollution. But, very often, waste sites are not known until a serious problem occurs, or are not adequately mapped. Recent examples around Europe include WWI and WWII ammunition dump sites (e.g. Beufort Dyke in the UK), dumped nuclear submarines in the Arctic Seas, clandestine or hidden toxic-waste in the Baltic Sea and the North Sea.. Even if properly documented, waste sites evolve with time (dumped material can move with currents and tides, especially on a scale of decades; toxic-material barrels can corrode and leak). This book shows the results of a concerted EU-funded effort to tackle this problem and find innovative ways to identify and map toxic waste sites ona the seabed, whether they have been covered with sediments or not. These results are applicable to any region on the seabed in the entire world.
Basics of PET Imaging : Physics, Chemistry, and Regulations
This unparalleled text on the basics of PET imaging technology is an ideal resource for technologists and residents preparing for board examinations. the book also serves as a useful reference for practicing nuclear medicine professionals. Chapters are concise but comprehensive and emphasize the fundamentals, including physics, instrumentation and data acquisition, image reconstruction, production of PET radionuclides and radiopharmaceuticals, and regulatory and reimbursement issues.
Artificial intelligence for multimedia signal processing
Artificial intelligence technologies are also actively applied to broadcasting and multimedia processing technologies. A lot of research has been conducted in a wide variety of fields, such as content creation, transmission, and security, and these attempts have been made in the past two to three years to improve image, video, speech, and other data compression efficiency in areas related to MPEG media processing technology. Additionally, technologies such as media creation, processing, editing, and creating scenarios are very important areas of research in multimedia processing and engineering. This book contains a collection of some topics broadly across advanced computational intelligence algorithms and technologies for emerging multimedia signal processing as: Computer vision field, speech/sound/text processing, and content analysis/information mining.
An Introduction to Mathematics of Emerging Biomedical Imaging
Biomedical imaging is a fascinating research area to applied mathematicians. Challenging imaging problems arise and they often trigger the investigation of fundamental problems in various branches of mathematics. This is the first book to highlight the most recent mathematical developments in emerging biomedical imaging techniques. The main focus is on emerging multi-physics and multi-scales imaging approaches. For such promising techniques, it provides the basic mathematical concepts and tools for image reconstruction. Further improvements in these exciting imaging techniques require continued research in the mathematical sciences, a field that has contributed greatly to biomedical imaging and will continue to do so.
Advances in Discrete Tomography and its Applications
Advances in Discrete Tomography and Its Applications is a unified presentation of new methods, algorithms, and select applications that are the foundations of multidimensional image reconstruction by discrete tomographic methods. The self-contained chapters, written by leading mathematicians, engineers, and computer scientists, present cutting-edge research and results in the field.Three main areas are covered: foundations, algorithms, and practical applications. Following an introduction that reports the recent literature of the field, the book explores various mathematical and computational problems of discrete tomography including new applications.
Advanced machine learning and deep learning approaches for remote sensing
Provides research on how technologies such as artificial intelligence-based machine learning and deep learning can be applied to remote sensing. Through this, we can see the process of solving the existing problems of image and image signal processing for remote sensing. These techniques are computationally intensive and require the help of high-performance computing devices. With the development of devices such as GPUs, remote sensing technology, and aerial sensing technology, it is possible to monitor the Earth with high-resolution images and to obtain vast amounts of Earth observation data. The papers published in this reprint describe recent advances in big data processing and artificial intelligence-based technologies for remote sensing technology.
3D diagnosis and treatment planning in orthodontics : an atlas for the clinician
A wide-ranging guide to modern diagnostics and treatment planning in orthodontics, which are mandatory prior to the initiation of any type of comprehensive treatment. The importance of three-dimensional (3D) imaging techniques has been increasingly recognized owing to the shortcomings of conventional two-dimensional imaging in some patients, such as those requiring complex adult treatment and those with temporomandibular joint dysfunctions or sleep disturbances.
