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Company Profiles: Advanced Medical Imaging Development

Company Profiles: Advanced Medical Imaging Development PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Company Profiles: Advanced Medical Imaging Development

Company Profiles: Advanced Medical Imaging Development PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Company Profiles: Advanced Imaging Technologies Inc

Company Profiles: Advanced Imaging Technologies Inc PDF Author:
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Languages : en
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Machine Learning and Medical Imaging

Machine Learning and Medical Imaging PDF Author: Guorong Wu
Publisher: Academic Press
ISBN: 0128041145
Category : Computers
Languages : en
Pages : 514

Book Description
Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. Demonstrates the application of cutting-edge machine learning techniques to medical imaging problems Covers an array of medical imaging applications including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics Features self-contained chapters with a thorough literature review Assesses the development of future machine learning techniques and the further application of existing techniques

Company Profiles: Advanced Medical X-Ray

Company Profiles: Advanced Medical X-Ray PDF Author:
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Languages : en
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Company Profiles: Advanced Medical Institute Inc

Company Profiles: Advanced Medical Institute Inc PDF Author:
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Languages : en
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Company Profiles: MediVision Medical Imaging Ltd

Company Profiles: MediVision Medical Imaging Ltd PDF Author:
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Languages : en
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Company Profiles: Sound Medical Imaging

Company Profiles: Sound Medical Imaging PDF Author:
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Languages : en
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Company Profiles: Advanced Medical Solutions Group Plc

Company Profiles: Advanced Medical Solutions Group Plc PDF Author:
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Languages : en
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Company Profiles: Advanced Medical Systems Pte Ltd

Company Profiles: Advanced Medical Systems Pte Ltd PDF Author:
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Languages : en
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Philosophy of Advanced Medical Imaging

Philosophy of Advanced Medical Imaging PDF Author: Elisabetta Lalumera
Publisher: Springer Nature
ISBN: 3030614123
Category : Medical
Languages : en
Pages : 130

Book Description
This is the first book to explore the epistemology and ethics of advanced imaging tests, in order to improve the critical understanding of the nature of knowledge they provide and the practical consequences of their utilization in healthcare. Advanced medical imaging tests, such as PET and MRI, have gained center stage in medical research and in patients’ care. They also increasingly raise questions that pertain to philosophy: What is required to be an expert in reading images? How are standards for interpretation to be fixed? Is there a problem of overutilization of such tests? How should uncertainty be communicated to patients? How to cope with incidental findings? This book is of interest and importance to scholars of philosophy of medicine at all levels, from undergraduates to researchers, to medical researchers and practitioners (radiologists and nuclear physicians) interested in a critical appraisal of the methodology of their discipline and in the ethical principles and consequences of their work.