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Author: S. Kevin Zhou
Publisher: Academic Press
ISBN: 0128026766
Category : Computers
Languages : en
Pages : 548
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Book Description
This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects. Learn: - Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects - Methods and theories for medical image recognition, segmentation and parsing of multiple objects - Efficient and effective machine learning solutions based on big datasets - Selected applications of medical image parsing using proven algorithms - Provides a comprehensive overview of state-of-the-art research on medical image recognition, segmentation, and parsing of multiple objects - Presents efficient and effective approaches based on machine learning paradigms to leverage the anatomical context in the medical images, best exemplified by large datasets - Includes algorithms for recognizing and parsing of known anatomies for practical applications
Author: S. Kevin Zhou
Publisher: Academic Press
ISBN: 0128026766
Category : Computers
Languages : en
Pages : 548
Get Book Here
Book Description
This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects. Learn: - Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects - Methods and theories for medical image recognition, segmentation and parsing of multiple objects - Efficient and effective machine learning solutions based on big datasets - Selected applications of medical image parsing using proven algorithms - Provides a comprehensive overview of state-of-the-art research on medical image recognition, segmentation, and parsing of multiple objects - Presents efficient and effective approaches based on machine learning paradigms to leverage the anatomical context in the medical images, best exemplified by large datasets - Includes algorithms for recognizing and parsing of known anatomies for practical applications
Author:
Publisher:
ISBN:
Category : Diagnostic imaging
Languages : en
Pages : 890
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Book Description
Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1120
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Book Description
First multi-year cumulation covers six years: 1965-70.
Author: Ronald Eisenberg, JD, MD, FACR
Publisher: Oxford University Press
ISBN: 0199780994
Category : Medical
Languages : en
Pages : 256
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Book Description
Medical imaging now plays a major role in diagnosis, choice of therapy, and follow-up. However, patients are often intimidated by the multiple imaging modalities available, the indications for their use, the imposing equipment, what the examinations are like and how long they last, and the advantages and disadvantages of various procedures. This book is designed to provide explanations for these and other issues in order to relieve some of the anxiety related to medical imaging studies.
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309445310
Category : Medical
Languages : en
Pages : 264
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Book Description
The decay product of the medical isotope molybdenum-99 (Mo-99), technetium-99m (Tc-99m), and associated medical isotopes iodine-131 (I-131) and xenon-133 (Xe-133) are used worldwide for medical diagnostic imaging or therapy. The United States consumes about half of the world's supply of Mo-99, but there has been no domestic (i.e., U.S.-based) production of this isotope since the late 1980s. The United States imports Mo-99 for domestic use from Australia, Canada, Europe, and South Africa. Mo-99 and Tc-99m cannot be stockpiled for use because of their short half-lives. Consequently, they must be routinely produced and delivered to medical imaging centers. Almost all Mo-99 for medical use is produced by irradiating highly enriched uranium (HEU) targets in research reactors, several of which are over 50 years old and are approaching the end of their operating lives. Unanticipated and extended shutdowns of some of these old reactors have resulted in severe Mo-99 supply shortages in the United States and other countries. Some of these shortages have disrupted the delivery of medical care. Molybdenum-99 for Medical Imaging examines the production and utilization of Mo-99 and associated medical isotopes, and provides recommendations for medical use.
Author: Anbarasan, Kalaivani
Publisher: IGI Global
ISBN: 1799830934
Category : Medical
Languages : en
Pages : 248
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Book Description
Recent advancements in the technology of medical imaging, such as CT and MRI scanners, are making it possible to create more detailed 3D and 4D images. These powerful images require vast amounts of digital data to help with the diagnosis of the patient. Artificial intelligence (AI) must play a vital role in supporting with the analysis of this medical imaging data, but it will only be viable as long as healthcare professionals and AI interact to embrace deep thinking platforms such as automation in the identification of diseases in patients. AI Innovation in Medical Imaging Diagnostics is an essential reference source that examines AI applications in medical imaging that can transform hospitals to become more efficient in the management of patient treatment plans through the production of faster imaging and the reduction of radiation dosages through the PET and SPECT imaging modalities. The book also explores how data clusters from these images can be translated into small data packages that can be accessed by healthcare departments to give a real-time insight into patient care and required interventions. Featuring research on topics such as assistive healthcare, cancer detection, and machine learning, this book is ideally designed for healthcare administrators, radiologists, data analysts, computer science professionals, medical imaging specialists, diagnosticians, medical professionals, researchers, and students.
Author: Jayaram K. Udupa
Publisher: CRC Press
ISBN: 1351470302
Category : Law
Languages : en
Pages : 362
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Book Description
This book provides a quick and systematic presentation of the principles of biomedical visualization and three-dimensional (3D) imaging. Topics discussed include basic principles and algorithms, surgical planning, neurosurgery, orthopedics, prosthesis design, brain imaging, cardio-pulmonary structure analysis and the assessment of clinical efficacy. Students, scientists, researchers, and radiologists will find 3D Imaging in Medicine a valuable source of information for a variety of actual and potential clinical applications for 3-D imaging.
Author: Jacob Beutel
Publisher: SPIE Press
ISBN: 9780819436238
Category : Medical
Languages : en
Pages : 976
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Book Description
This volume describes concurrent engineering developments that affect or are expected to influence future development of digital diagnostic imaging. It also covers current developments in Picture Archiving and Communications System (PACS) technology, with particular emphasis on integration of emerging imaging technologies into the hospital environment.
Author: Shi-Kuo Chang
Publisher: Springer Science & Business Media
ISBN: 146131805X
Category : Psychology
Languages : en
Pages : 457
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Book Description
This book is intended as both an introduction to the state-of-the-art in visual languages, as well as an exposition of the frontiers of research in advanced visual languages. It is for computer scientists, computer engi neers, information scientists, application programmers, and technical managers responsible for software development projects who are inter ested in the methodology and manifold applications of visual languages and visual programming. The contents of this book are drawn from invited papers, as well as selected papers from two workshops: the 1985 IEEE Workshop on Lan guages for Automation-Cognitive Aspects in Information Processing, which was held in Mallorca, Spain, June 28-30, 1985; and the 1984 IEEE Workshop on Visual Languages, which was held in Hiroshima, Japan, December 7-9, 1984. Panos Ligomenides and I organized the technical program of LFA '85, and Tadao Ichikawa and I organized the techni cal program of VL '84. Both workshops have now become successful annual events in their own right. The intersecting area of visual languages and visual programming especially has become a fascinating new research area. It is hoped that this book will focus the reader's attention on some of the interesting research issues as well as the potential for future applications. After reading this book, the reader will undoubtedly get an impression that visual languages and the concept of generalized icons can be studied fruitfully from many different perspectives, including computer graphics, formal language theory, educational methodology, cognitive psychology and visual design.
Author: Alex A.T. Bui
Publisher: Springer Science & Business Media
ISBN: 1441903852
Category : Technology & Engineering
Languages : en
Pages : 454
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Book Description
Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.
