biomedical imaging

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Biomedical Imaging
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Publisher : CRC Press
Release Date :
ISBN 10 : 0203491408
Pages : 360 pages
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Comprised of chapters carefully selected from CRC‘s best-selling engineering handbooks, volumes in the Principles and Applications in Engineering series provide convenient, economical references sharply focused on particular engineering topics and subspecialties. Culled from the Biomedical Engineering Handbook, Biomedical Imaging

Biomedical Imaging

Comprised of chapters carefully selected from CRC‘s best-selling engineering handbooks, volumes in the Principles and Applications in Engineering series provide convenient, economical references sharply focused on particular engineering topics and subspecialties. Culled from the Biomedical Engineering Handbook, Biomedical Imaging

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Biomedical Imaging Instrumentation

Biomedical Imaging Instrumentation: Applications in Tissue, Cellular and Molecular Diagnostics provides foundational information about imaging modalities, reconstruction and processing, and their applications. The book provides insights into the fundamental of the important techniques in the biomedical imaging field and also discusses the various applications in the area of human health.

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Three Dimensional Biomedical Imaging  1985

The best known of the new 3-D imaging modalities is X-ray computed tomography, but exciting progress has been made and practical systems developed in 3-D imaging with radioisotopes, ultrasound, and nuclear magnetic resonance (NMR). These volumes will feature up-to-date reviews by leading scientists in each of these imaging areas, providing

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Biomedical Imaging

Covering both physical as well as mathematical and algorithmic foundations, this graduate textbook provides the reader with an introduction into modern biomedical imaging and image processing and reconstruction. These techniques are not only based on advanced instrumentation for image acquisition, but equally on new developments in image processing and reconstruction

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Bayesian and grAphical Models for Biomedical Imaging

This book constitutes the refereed proceedings of the First International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2014, held in Cambridge, MA, USA, in September 2014 as a satellite event of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014. The 11 revised full papers presented

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Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and

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Essentials of In Vivo Biomedical Imaging

While there are many excellent texts focused on clinical medical imaging, there are few books that approach in vivo imaging technologies from the perspective of a scientist or physician-scientist using, or interested in using, these techniques in research. It is for these individuals that Essentials of In Vivo Biomedical Imaging

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Handbook of Biomedical Imaging

This book offers a unique guide to the entire chain of biomedical imaging, explaining how image formation is done, and how the most appropriate algorithms are used to address demands and diagnoses. It is an exceptional tool for radiologists, research scientists, senior undergraduate and graduate students in health sciences and

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Introduction to Medical Imaging

Covering the basics of X-rays, CT, PET, nuclear medicine, ultrasound, and MRI, this textbook provides senior undergraduate and beginning graduate students with a broad introduction to medical imaging. Over 130 end-of-chapter exercises are included, in addition to solved example problems, which enable students to master the theory as well as providing

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Biomedical Imaging

This book presents and describes imaging technologies that can be used to study chemical processes and structural interactions in dynamic systems, principally in biomedical systems. The imaging technologies, largely biomedical imaging technologies such as MRT, Fluorescence mapping, raman mapping, nanoESCA, and CARS microscopy, have been selected according to their application

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Introduction to Biomedical Imaging

An integrated, comprehensive survey of biomedical imaging modalities An important component of the recent expansion in bioengineering is the area of biomedical imaging. This book provides in-depth coverage of the field of biomedical imaging, with particular attention to an engineering viewpoint. Suitable as both a professional reference and as a

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Mathematical Modeling in Biomedical Imaging II

This volume reports on recent mathematical and computational advances in optical, ultrasound, and opto-acoustic tomographies. It outlines the state-of-the-art and future directions in these fields and provides readers with the most recently developed mathematical and computational tools. It is particularly suitable for researchers and graduate students in applied mathematics and

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Principles of Medical Imaging for Engineers

This introduction to medical imaging introduces all of the major medical imaging techniques in wide use in both medical practice and medical research, including Computed Tomography, Ultrasound, Positron Emission Tomography, Single Photon Emission Tomography and Magnetic Resonance Imaging. Principles of Medical Imaging for Engineers introduces fundamental concepts related to why

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Biomedical Imaging

Biomedical Imaging: Applications and Advances discusses the technologies and latest developments in the increasingly important field of imaging techniques for the diagnosis of disease, monitoring of medical implants, and strategies for personalized medicine. Chapters in part one explore the full range of imaging technologies from atomic force microscopy (AFM) to

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Machine Learning and Medical Imaging

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

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