الصفحة 33
الصفحة 33
Magnetic Resonance Imaging in Orthopedic Sports Medicine
Though magnetic resonance imaging has helped revolutionize the field of orthopedic medicine, a difference in perspective persists between radiology and orthopedic specialists. Magnetic Resonance Imaging in Orthopedic Sports Medicine is an interdisciplinary resource designed to bridge this gap.
Magnetic Resonance Imaging in Ischemic Stroke
The imaging of stroke has undergone significant changes owing to the rapid progress in imaging technology. This volume, comprising three parts, is designed to provide a comprehensive summary of the current role of MR imaging in patients with ischemic stroke. The first part outlines the clinical presentations of stroke and discusses the diagnostic efficacy and therapeutic impact of MR imaging. The second and third parts form the core of the volume, and are based on a novel approach in that the topic is presented from two very different viewpoints. Part 2 provides a detailed presentation of the distinguishing features of stroke from the radiologist's perspective. By contrast, part 3 addresses the needs of the clinician, documenting specific stroke syndromes and their correlates on MR imaging. The overall aim has been to create a well-illustrated volume with broad appeal that links pathology, radiology and stroke medicine in an informative manner.
Magnetic resonance angiography : techniques, indications and practical applications
The advent of contrast-enhanced MRA in the early to mid 1990s revolutionized the clinical approach to vascular imaging: an accurate non-invasive imaging modality, not requiring ionizing radiation or potentially nephrotoxic iodinated contrast media, was able to compete with the more hazardous and invasive catheter angiography. Today, MRA is a safe, easy-to-perform procedure routinely used in most imaging centers, and the continued development of faster, more powerful magnets and more effective contrast agents is increasingly helping to overcome many of the early limitations of the technique.
Magnetic nanoparticles in human health and medicine : Current medical applications and alternative therapy of cancer
Progress in improving diagnosis by magnetic resonance imaging (MRI) and using non-invasive and non-toxic magnetic nanoparticles for targeted drug delivery. Focusing on cancer diagnosis and therapy, the book covers both fundamental principles and advanced theoretical and experimental research on the magnetic properties, biocompatibilization, biofunctionalization, and application of magnetic nanoparticles in nanobiotechnology and nanomedicine.
Magnetic Microscopy of Nanostructures
Contains a comprehensive collection of overview articles on novel microscopy methods for imaging magnetic structures on the nanoscale. Written by leading scientists in the field the book covers synchrotron based methods, spin polarized electron methods, and scanning probe techniques. It will be a valuable source of reference for graduate students and newcomers to the field.
Macular Degeneration
Macular Degeneration: Science and Medicine in Practice provides a unique overview of current thinking in the pathogenesis, incidence and treatment of AMD. It includes, for the first time, a synthesis of the views of the world's leading scientists and practitioners regarding retinal biology, basic mechanisms, clinical and pathogenetic processes, and rational approaches to intervention.
Machine Learning Techniques for Multimedia : Case Studies on Organization and Retrieval
This book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain. Arising from the EU MUSCLE network, a program that drew together multidisciplinary teams with expertise in machine learning, pattern recognition, artificial intelligence, and image, video, text and crossmedia processing, the book first introduces the machine learning principles and techniques that are applied in multimedia data processing and analysis. The second part focuses on multimedia data processing applications, with chapters examining specific machine learning issues in domains .
Machine Learning in Dentistry
This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties.
Machine learning for neurodegenerative disorders : advancements and applications
Explores the application of machine learning to the understanding, early diagnosis, and management of neurodegenerative disorders. With a specific focus on its role in ongoing clinical trials, the book covers essential topics such as data collection, pre-processing, feature extraction, model development, and validation techniques. It delves into the applications of neuroimaging techniques like magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) in the diagnosis and understanding of neurodegenerative disorders. Additionally, the book examines various machine-learning algorithms employed for biomarker discovery in neurodegenerative disorders. It highlights the role of neuroinformatics and big data analysis in advancing the understanding and management of neurodegenerative disorders. Furthermore, the book reviews future prospects and presents the ethical considerations and regulatory challenges associated with implementing machine learning approaches in the diagnosis, treatment, and prevention of neurodegenerative disorders.
Machine learning for brain disorders
Organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, and Part Five discusses applications of ML to various neurological and psychiatric disorders.
Machine learning for biomedical application
Biomedicine is a multidisciplinary branch of medical science that consists of many scientific disciplines, e.g., biology, biotechnology, bioinformatics, and genetics; moreover, it covers various medical specialties. In recent years, this field of science has developed rapidly. This means that a large amount of data has been generated, due to (among other reasons) the processing, analysis, and recognition of a wide range of biomedical signals and images obtained through increasingly advanced medical imaging devices. The analysis of these data requires the use of advanced IT methods, which include those related to the use of artificial intelligence, and in particular machine learning. It is a summary of the Special Issue “Machine Learning for Biomedical Application”, briefly outlining selected applications of machine learning in the processing, analysis, and recognition of biomedical data, mostly regarding biosignals and medical images.
Machine Learning and Knowledge Discovery in Databases ; European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I
Constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008.The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer.
Machine learning and deep learning in medical data analytics and healthcare applications
Introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.
Lunar and Planetary Webcam Users Guide
In the Lunar and Planetary Webcam User’s Guide Martin Mobberley de-mystifies the jargon of webcams and computer processing, and provides detailed hints and tips for imaging the Sun, Moon and planets with a webcam. He looks at each observing target separately, describing and explaining all specialised techniques in context.
Low-Dose Radiation Effects on Animals and Ecosystems : Long-Term Study on the Fukushima Nuclear Accident
Brings together the works of radiation biologists and ecologists to provide reliable radioecology data and gives insight into future radioprotection. The book examines the environmental pollution and radiation exposure, and contains valuable data from abandoned livestock in the ex-evacuation zone and from wild animals including invertebrates and vertebrates, aqueous and terrestrial animals, and plants that are subjected to long-term exposure in the area still affected by radiation. It also analyzes dose evaluation, and offers new perspectives gained from the accident, as well as an overview for future studies to promote radioprotection of humans and the ecosystem.
Longevity and Frailty
Contained in this book are the outcome of a colloquium sponsored by Fondation IPSEN in which interdisciplinary perspectives were brought to bear on conceptual, empirical and clinical aspects of this relationship. The result is a unique, innovative and timely blend of papers on topics ranging from frailty concepts in animal models and early Homo sapiens, to documentation of progress in morbidity compression, on the relationships between frailty and impairments and inflammation, and perspectives on long-term health care needs in an aging world.
Longer Life and Healthy Aging
Focuses on theoretical issues and empirical findings related to trends and determinants of healthy aging, including factors related to "healthy longevity" of the oldest-old, aged 80 and over. The group is the most rapidly increasing elderly sub-population and is most likely to need assistance in daily living in all countries. Chapters include both longitudinal and cross-sectional data from North America, Europe, and Asia in country-specific studies and cross-national comparisons. Part I focuses on the definition, components, concepts, measurements, and determinants of healthy aging, and discusses the trends and patterns of disability and healthy life expectancy at the macro level. Part II addresses individual healthy aging, including its biological and socio-demographic aspects. Part III focuses on issues concerning the family and healthy aging, and Part IV explores formal and informal care for healthy aging through governmental policy interventions and community service programs.
Logistics Systems : Design and Optimization
In a context of global competition, the optimization of logistics systems is inescapable. LOGISTICS SYSTEMS: Design and Optimization falls within this perspective and presents twelve chapters that well illustrate the variety and the complexity of logistics activities. Each chapter is written by recognized researchers who have been commissioned to survey a specific topic or emerging area of logistics. The first chapter, by Riopel, Langevin, and Campbell, develops a framework for the entire book. It classifies logistics decisions and highlights the relevant linkages to logistics decisions. The intricacy of these linkages demonstrates how thoroughly the decisions are interrelated and underscores the complexity of managing logistics activities. Each of the following chapters focus on quantitative methods for the design and optimization of logistics systems.
Load balancing using SDN
Software-Defined Network (SDN) is considered a breakthrough to the global network. It plays an important role in performance improvement and network optimization. SDN is a new mechanism for managing and designing networks rather than the current traditional network system which does not afford more services and higher data rates; therefore, we analyze the effect of applying load balancing techniques and its importance in different SDN environments. In this paper, we propose a dynamic server load balancing technique in SDN architecture. Hence, we implement a server Connection-based load balancing technique and evaluate its performance with a static Round-robin and Random-based in both mininet emulation environment and OpenFlow-enabled switch using Ryu OpenFlow controller.
Liver MRI : Correlation with other Imaging Modalities and Histopathology
In this seminal manuscript the - thor described a new imaging technique which moved the single dimension of NMR spectroscopy to the dual dimension of spatial orientation, thereby resulting in the foundation of modern magnetic re- nance (MR) imaging. Over the ensuing years, MR imaging has assumed an increasingly important role in clinical imaging. It distinguishes itself from other imaging modalities, such as ultrasound (US) or computed tomography (CT), by the unique ability to visualize specific tissue components in a non-- vasive manner. In the earlier days, diagnostic MR imaging was limited to cerebral and musculoskeletal diseases. - aging of other areas which are more prone to movement through breathing (abdominal) or pulsation motions (cardiac) became available more recently, with the introduction of faster sequences and the - velopment of more dedicated MR imaging coils.
