Author: S. Kevin Zhou
Publisher: Academic Press
ISBN: 0128026766
Category : Computers
Languages : en
Pages : 548
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
Medical Image Recognition, Segmentation and Parsing
Author: S. Kevin Zhou
Publisher: Academic Press
ISBN: 0128026766
Category : Computers
Languages : en
Pages : 548
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
Publisher: Academic Press
ISBN: 0128026766
Category : Computers
Languages : en
Pages : 548
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
Medical Imaging
Author:
Publisher:
ISBN:
Category : Diagnostic imaging
Languages : en
Pages : 890
Book Description
Publisher:
ISBN:
Category : Diagnostic imaging
Languages : en
Pages : 890
Book Description
Current Catalog
Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1024
Book Description
First multi-year cumulation covers six years: 1965-70.
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1024
Book Description
First multi-year cumulation covers six years: 1965-70.
A Patient's Guide to Medical Imaging
Author: Ronald Eisenberg, JD, MD, FACR
Publisher: Oxford University Press
ISBN: 0199780994
Category : Medical
Languages : en
Pages : 256
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.
Publisher: Oxford University Press
ISBN: 0199780994
Category : Medical
Languages : en
Pages : 256
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.
AI Innovation in Medical Imaging Diagnostics
Author: Anbarasan, Kalaivani
Publisher: IGI Global
ISBN: 1799830934
Category : Medical
Languages : en
Pages : 248
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.
Publisher: IGI Global
ISBN: 1799830934
Category : Medical
Languages : en
Pages : 248
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.
Visual Languages
Author: Shi-Kuo Chang
Publisher: Springer Science & Business Media
ISBN: 146131805X
Category : Psychology
Languages : en
Pages : 457
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.
Publisher: Springer Science & Business Media
ISBN: 146131805X
Category : Psychology
Languages : en
Pages : 457
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.
3D Imaging in Medicine, Second Edition
Author: Jayaram K. Udupa
Publisher: CRC Press
ISBN: 1351470302
Category : Law
Languages : en
Pages : 362
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.
Publisher: CRC Press
ISBN: 1351470302
Category : Law
Languages : en
Pages : 362
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.
Injury Illustrated
Author: R. Annie Gough
Publisher: CRC Press
ISBN: 9781003104414
Category : Design
Languages : en
Pages : 248
Book Description
The best storytellers and presenters know that a picture is worth a thousand words. Pictures simplify stories. They make stories memorable. They clarify complex concepts and they educate the audience in the easiest way. That is why attorneys work with artists--medical illustrators, to be exact. Injury Illustrated is the first book of its kind. It is the essential guide on medical illustrations used in the legal context. This book examines the creation of visual graphics known as demonstrative exhibits. These exhibits provide an understanding of traumatic injuries, surgeries, and radiology studies for the jury, judges, adjustors, mediators, and the attorneys. These chapters describe how to tell a clear story about gross anatomy, medical malpractice, and/or death investigation in court by using medical images. While medical illustration and injury law are very different professions, illustrators are the ideal partners for lawyers when solving problems and preparing for litigation. Divided into five sections, this book details who medical illustrators are, how they are educated in medicine, the skills and services they can provide to trial lawyers, and the countless benefits resulting from record review and case preparation. Find techniques to best use medical images during all stages of litigation Learn how graphic exhibits engage a jury and empower justice Understand why attorneys win more cases by collaborating with medical illustrators All readers will learn about this unique career and the attorney-illustrator relationship. More specifically, attorneys, artists, animators, law students, medical students, forensic scientists, and medical experts will understand how demonstrative exhibits assist legal proceedings in forensic matters and civil lawsuits. Warning; these images will be graphic and the cases at times will be catastrophic.
Publisher: CRC Press
ISBN: 9781003104414
Category : Design
Languages : en
Pages : 248
Book Description
The best storytellers and presenters know that a picture is worth a thousand words. Pictures simplify stories. They make stories memorable. They clarify complex concepts and they educate the audience in the easiest way. That is why attorneys work with artists--medical illustrators, to be exact. Injury Illustrated is the first book of its kind. It is the essential guide on medical illustrations used in the legal context. This book examines the creation of visual graphics known as demonstrative exhibits. These exhibits provide an understanding of traumatic injuries, surgeries, and radiology studies for the jury, judges, adjustors, mediators, and the attorneys. These chapters describe how to tell a clear story about gross anatomy, medical malpractice, and/or death investigation in court by using medical images. While medical illustration and injury law are very different professions, illustrators are the ideal partners for lawyers when solving problems and preparing for litigation. Divided into five sections, this book details who medical illustrators are, how they are educated in medicine, the skills and services they can provide to trial lawyers, and the countless benefits resulting from record review and case preparation. Find techniques to best use medical images during all stages of litigation Learn how graphic exhibits engage a jury and empower justice Understand why attorneys win more cases by collaborating with medical illustrators All readers will learn about this unique career and the attorney-illustrator relationship. More specifically, attorneys, artists, animators, law students, medical students, forensic scientists, and medical experts will understand how demonstrative exhibits assist legal proceedings in forensic matters and civil lawsuits. Warning; these images will be graphic and the cases at times will be catastrophic.
National Library of Medicine Current Catalog
Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1128
Book Description
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1128
Book Description
Digital Image Processing for Medical Applications
Author: Geoff Dougherty
Publisher: Cambridge University Press
ISBN: 0521860857
Category : Computers
Languages : en
Pages : 463
Book Description
Hands-on text for a first course aimed at end-users, focusing on concepts, practical issues and problem solving.
Publisher: Cambridge University Press
ISBN: 0521860857
Category : Computers
Languages : en
Pages : 463
Book Description
Hands-on text for a first course aimed at end-users, focusing on concepts, practical issues and problem solving.