Deep Learning And Radiomics Applied To Magnetic Resonance Images Of The Brain And Muscles To Better Detect Disease

Download Deep Learning And Radiomics Applied To Magnetic Resonance Images Of The Brain And Muscles To Better Detect Disease full books in PDF, epub, and Kindle. Read online Deep Learning And Radiomics Applied To Magnetic Resonance Images Of The Brain And Muscles To Better Detect Disease ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Radiomics and Radiogenomics

Author : Ruijiang Li
Publisher : CRC Press
ISBN 13 : 1351208268
Total Pages : 484 pages
Book Rating : 4.3/5 (512 download)

DOWNLOAD NOW!

Book Synopsis Radiomics and Radiogenomics by : Ruijiang Li

Download or read book Radiomics and Radiogenomics written by Ruijiang Li and published by CRC Press. This book was released on 2019-07-09 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains the fundamental principles, technical bases, and clinical applications with a focus on oncology. The book’s expert authors present computational approaches for extracting imaging features that help to detect and characterize disease tissues for improving diagnosis, prognosis, and evaluation of therapy response. This book is intended for audiences including imaging scientists, medical physicists, as well as medical professionals and specialists such as diagnostic radiologists, radiation oncologists, and medical oncologists. Features Provides a first complete overview of the technical underpinnings and clinical applications of radiomics and radiogenomics Shows how they are improving diagnostic and prognostic decisions with greater efficacy Discusses the image informatics, quantitative imaging, feature extraction, predictive modeling, software tools, and other key areas Covers applications in oncology and beyond, covering all major disease sites in separate chapters Includes an introduction to basic principles and discussion of emerging research directions with a roadmap to clinical translation

Artificial Intelligence in Medical Imaging

Author : Erik R. Ranschaert
Publisher : Springer
ISBN 13 : 3319948784
Total Pages : 369 pages
Book Rating : 4.3/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Medical Imaging by : Erik R. Ranschaert

Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

Deep Learning in Medical Image Analysis

Author : Gobert Lee
Publisher : Springer Nature
ISBN 13 : 3030331288
Total Pages : 184 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Deep Learning in Medical Image Analysis by : Gobert Lee

Download or read book Deep Learning in Medical Image Analysis written by Gobert Lee and published by Springer Nature. This book was released on 2020-02-06 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.

Image Processing in Radiology

Author : Emanuele Neri
Publisher : Springer Science & Business Media
ISBN 13 : 3540498303
Total Pages : 432 pages
Book Rating : 4.5/5 (44 download)

DOWNLOAD NOW!

Book Synopsis Image Processing in Radiology by : Emanuele Neri

Download or read book Image Processing in Radiology written by Emanuele Neri and published by Springer Science & Business Media. This book was released on 2007-12-31 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, written by leading experts from many countries, provides a comprehensive and up-to-date description of how to use 2D and 3D processing tools in clinical radiology. The opening section covers a wide range of technical aspects. In the main section, the principal clinical applications are described and discussed in depth. A third section focuses on a variety of special topics. This book will be invaluable to radiologists of any subspecialty.

Magnetic Resonance Brain Imaging

Author : Jörg Polzehl
Publisher : Springer Nature
ISBN 13 : 3030291847
Total Pages : 242 pages
Book Rating : 4.0/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Magnetic Resonance Brain Imaging by : Jörg Polzehl

Download or read book Magnetic Resonance Brain Imaging written by Jörg Polzehl and published by Springer Nature. This book was released on 2019-09-25 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the modeling and analysis of magnetic resonance imaging (MRI) data acquired from the human brain. The data processing pipelines described rely on R. The book is intended for readers from two communities: Statisticians who are interested in neuroimaging and looking for an introduction to the acquired data and typical scientific problems in the field; and neuroimaging students wanting to learn about the statistical modeling and analysis of MRI data. Offering a practical introduction to the field, the book focuses on those problems in data analysis for which implementations within R are available. It also includes fully worked examples and as such serves as a tutorial on MRI analysis with R, from which the readers can derive their own data processing scripts. The book starts with a short introduction to MRI and then examines the process of reading and writing common neuroimaging data formats to and from the R session. The main chapters cover three common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, and Multi-Parameter Mapping. The book concludes with extended appendices providing details of the non-parametric statistics used and the resources for R and MRI data.The book also addresses the issues of reproducibility and topics like data organization and description, as well as open data and open science. It relies solely on a dynamic report generation with knitr and uses neuroimaging data publicly available in data repositories. The PDF was created executing the R code in the chunks and then running LaTeX, which means that almost all figures, numbers, and results were generated while producing the PDF from the sources.

Medical Imaging Informatics

Author : Alex A.T. Bui
Publisher : Springer Science & Business Media
ISBN 13 : 1441903852
Total Pages : 454 pages
Book Rating : 4.4/5 (419 download)

DOWNLOAD NOW!

Book Synopsis Medical Imaging Informatics by : Alex A.T. Bui

Download or read book Medical Imaging Informatics written by Alex A.T. Bui and published by Springer Science & Business Media. This book was released on 2009-12-01 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Brain-image Based Computation for Supporting Clinical Decision in Neurological and Psychiatric Disorders

Author : Lin Shi
Publisher : Frontiers Media SA
ISBN 13 : 2889666751
Total Pages : 164 pages
Book Rating : 4.8/5 (896 download)

DOWNLOAD NOW!

Book Synopsis Brain-image Based Computation for Supporting Clinical Decision in Neurological and Psychiatric Disorders by : Lin Shi

Download or read book Brain-image Based Computation for Supporting Clinical Decision in Neurological and Psychiatric Disorders written by Lin Shi and published by Frontiers Media SA. This book was released on 2021-04-07 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Adaptive Radiation Therapy

Author : X. Allen Li
Publisher : CRC Press
ISBN 13 : 1439816352
Total Pages : 404 pages
Book Rating : 4.4/5 (398 download)

DOWNLOAD NOW!

Book Synopsis Adaptive Radiation Therapy by : X. Allen Li

Download or read book Adaptive Radiation Therapy written by X. Allen Li and published by CRC Press. This book was released on 2011-01-27 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern medical imaging and radiation therapy technologies are so complex and computer driven that it is difficult for physicians and technologists to know exactly what is happening at the point-of-care. Medical physicists responsible for filling this gap in knowledge must stay abreast of the latest advances at the intersection of medical imaging an

Pulmonary Functional Imaging

Author : Yoshiharu Ohno
Publisher : Springer Nature
ISBN 13 : 3030435393
Total Pages : 363 pages
Book Rating : 4.0/5 (34 download)

DOWNLOAD NOW!

Book Synopsis Pulmonary Functional Imaging by : Yoshiharu Ohno

Download or read book Pulmonary Functional Imaging written by Yoshiharu Ohno and published by Springer Nature. This book was released on 2020-12-11 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the basics of pulmonary functional imaging using new CT and MR techniques and describes the clinical applications of these techniques in detail. The intention is to equip readers with a full understanding of pulmonary functional imaging that will allow optimal application of all relevant techniques in the assessment of a variety of diseases, including COPD, asthma, cystic fibrosis, pulmonary thromboembolism, pulmonary hypertension, lung cancer and pulmonary nodule. Pulmonary functional imaging has been promoted as a research and diagnostic tool that has the capability to overcome the limitations of morphological assessments as well as functional evaluation based on traditional nuclear medicine studies. The recent advances in CT and MRI and in medical image processing and analysis have given further impetus to pulmonary functional imaging and provide the basis for future expansion of its use in clinical applications. In documenting the utility of state-of-the-art pulmonary functional imaging in diagnostic radiology and pulmonary medicine, this book will be of high value for chest radiologists, pulmonologists, pulmonary surgeons, and radiation technologists.

Oncologic Imaging

Author : David G. Bragg
Publisher : Saunders
ISBN 13 : 9780721674940
Total Pages : 0 pages
Book Rating : 4.6/5 (749 download)

DOWNLOAD NOW!

Book Synopsis Oncologic Imaging by : David G. Bragg

Download or read book Oncologic Imaging written by David G. Bragg and published by Saunders. This book was released on 2002 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Completely updated to reflect the latest developments in science and technology, the second edition of this reference presents the diagnostic imaging tools essential to the detection, diagnosis, staging, treatment planning, and post-treatment management of cancer in both adults and children. Organized by major organs and body systems, the text offers comprehensive, abundantly illustrated guidance to enable both the radiologist and clinical oncologist to better appreciate and overcome the challenges of tumor imaging. Features 12 brand-new chapters that examine new imaging techniques, molecular imaging, minimally invasive approaches, 3D and conformal treatment planning, interventional techniques in radiation oncology, interventional breast techniques, and more. Emphasizes practical interactions between oncologists and radiologists. Includes expanded coverage of paediatric tumours as well as thorax, gastrointestinal tract, genitourinary, and musculoskeletal cancers. Offers reorganized and increased content on the brain and spinal cord. Nearly 1,400 illustrations enable both the radiologist and clinical oncologist to better appreciate and overcome the challenges of tumour imaging. - Outstanding Features! Presents internationally renowned authors' insights on recent technological breakthroughs in imaging for each anatomical region, and offers their views on future advances in the field. Discusses the latest advances in treatment planning. Devotes four chapters to the critical role of imaging in radiation treatment planning and delivery. Makes reference easy with a body-system organisation.

Deep Learning and Convolutional Neural Networks for Medical Image Computing

Author : Le Lu
Publisher : Springer
ISBN 13 : 331942999X
Total Pages : 327 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Deep Learning and Convolutional Neural Networks for Medical Image Computing by : Le Lu

Download or read book Deep Learning and Convolutional Neural Networks for Medical Image Computing written by Le Lu and published by Springer. This book was released on 2017-07-12 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.

Deep Learning for Biomedical Applications

Author : Utku Kose
Publisher : CRC Press
ISBN 13 : 1000406423
Total Pages : 365 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Deep Learning for Biomedical Applications by : Utku Kose

Download or read book Deep Learning for Biomedical Applications written by Utku Kose and published by CRC Press. This book was released on 2021-07-19 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems. It focuses on different types of data (i.e. raw data, signal-time series, medical images) to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis, image processing perspectives, and even genomics. It takes the reader through different sides of Deep Learning oriented solutions. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educations who are working in the context of the topics.

Neurocircuitry of Addiction

Author : Nicholas W. Gilpin
Publisher : Academic Press
ISBN 13 : 0128234547
Total Pages : 560 pages
Book Rating : 4.1/5 (282 download)

DOWNLOAD NOW!

Book Synopsis Neurocircuitry of Addiction by : Nicholas W. Gilpin

Download or read book Neurocircuitry of Addiction written by Nicholas W. Gilpin and published by Academic Press. This book was released on 2022-11-29 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: People use drugs for many different reasons, including the pursuit of "high," social factors and self-medication of other conditions. Many millions of people are addicted to at least one substance, and the cost of addiction is immense, at both the individual and societal levels. Neurocircuitry of Addiction is the first book of its kind, with a focus on addiction neuroscience from a neural circuit perspective. This book begins with a primer on circuit-based neuroscience that equips the reader with an understanding of the applications described throughout the book. Each subsequent chapter positions a different brain region at the "center" of addiction neurocircuitry and goes on to describe the anatomical connectivity of that brain region, how those circuits are affected by drug exposure, and the role of those circuits in controlling addiction-related behaviors. All chapters of this book are written by content experts for a target audience that has some basic neuroscience background, but no prior in-depth knowledge regarding the neurocircuitry of addiction. - Reviews the circuit-based tools that are used by scientists to investigate neural circuit function - Describes how acute and chronic alcohol and drug exposure affect neural circuit function - Describes the state of the science regarding the role of specific neural circuis in drug addiction - Chapters include data from both human neuroscience and animal models

Classification in BioApps

Author : Nilanjan Dey
Publisher : Springer
ISBN 13 : 3319659812
Total Pages : 453 pages
Book Rating : 4.3/5 (196 download)

DOWNLOAD NOW!

Book Synopsis Classification in BioApps by : Nilanjan Dey

Download or read book Classification in BioApps written by Nilanjan Dey and published by Springer. This book was released on 2017-11-10 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges. Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization. In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals.

Diagnostic Radiology: Recent Advances and Applied Physics in Imaging

Author : Arun Kumar Gupta
Publisher : JP Medical Ltd
ISBN 13 : 9350904977
Total Pages : 450 pages
Book Rating : 4.3/5 (59 download)

DOWNLOAD NOW!

Book Synopsis Diagnostic Radiology: Recent Advances and Applied Physics in Imaging by : Arun Kumar Gupta

Download or read book Diagnostic Radiology: Recent Advances and Applied Physics in Imaging written by Arun Kumar Gupta and published by JP Medical Ltd. This book was released on 2013-07-30 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition has been fully updated to provide radiologists with all the recent technological advances in diagnostic radiology. Divided into six sections, it covers all the key aspects of the imaging – ultrasound, computed tomography, magnetic resonance imaging, radiography and interventional radiography, and contrast media. The final section discusses miscellaneous topics including evidence based radiology, radiation protection, molecular imaging, planning a modern imaging department, and common drugs used. A separate chapter is dedicated to picture archiving and data management. This comprehensive new edition includes nearly 600 full colour radiological images and illustrations. Key points Fully updated, new edition presenting recent technological advances in diagnostic radiology Covers all key imaging techniques Includes nearly 600 radiological photographs and illustrations Previous edition published in 2007

Quantitative Magnetic Resonance Imaging

Author : Nicole Seiberlich
Publisher : Academic Press
ISBN 13 : 0128170581
Total Pages : 1094 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Quantitative Magnetic Resonance Imaging by : Nicole Seiberlich

Download or read book Quantitative Magnetic Resonance Imaging written by Nicole Seiberlich and published by Academic Press. This book was released on 2020-11-18 with total page 1094 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Magnetic Resonance Imaging is a 'go-to' reference for methods and applications of quantitative magnetic resonance imaging, with specific sections on Relaxometry, Perfusion, and Diffusion. Each section will start with an explanation of the basic techniques for mapping the tissue property in question, including a description of the challenges that arise when using these basic approaches. For properties which can be measured in multiple ways, each of these basic methods will be described in separate chapters. Following the basics, a chapter in each section presents more advanced and recently proposed techniques for quantitative tissue property mapping, with a concluding chapter on clinical applications. The reader will learn: - The basic physics behind tissue property mapping - How to implement basic pulse sequences for the quantitative measurement of tissue properties - The strengths and limitations to the basic and more rapid methods for mapping the magnetic relaxation properties T1, T2, and T2* - The pros and cons for different approaches to mapping perfusion - The methods of Diffusion-weighted imaging and how this approach can be used to generate diffusion tensor - maps and more complex representations of diffusion - How flow, magneto-electric tissue property, fat fraction, exchange, elastography, and temperature mapping are performed - How fast imaging approaches including parallel imaging, compressed sensing, and Magnetic Resonance - Fingerprinting can be used to accelerate or improve tissue property mapping schemes - How tissue property mapping is used clinically in different organs - Structured to cater for MRI researchers and graduate students with a wide variety of backgrounds - Explains basic methods for quantitatively measuring tissue properties with MRI - including T1, T2, perfusion, diffusion, fat and iron fraction, elastography, flow, susceptibility - enabling the implementation of pulse sequences to perform measurements - Shows the limitations of the techniques and explains the challenges to the clinical adoption of these traditional methods, presenting the latest research in rapid quantitative imaging which has the possibility to tackle these challenges - Each section contains a chapter explaining the basics of novel ideas for quantitative mapping, such as compressed sensing and Magnetic Resonance Fingerprinting-based approaches

Medical Image Analysis

Author : Alejandro Frangi
Publisher : Academic Press
ISBN 13 : 0128136588
Total Pages : 700 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Medical Image Analysis by : Alejandro Frangi

Download or read book Medical Image Analysis written by Alejandro Frangi and published by Academic Press. This book was released on 2023-09-20 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC. - An authoritative presentation of key concepts and methods from experts in the field - Sections clearly explaining key methodological principles within relevant medical applications - Self-contained chapters enable the text to be used on courses with differing structures - A representative selection of modern topics and techniques in medical image computing - Focus on medical image computing as an enabling technology to tackle unmet clinical needs - Presentation of traditional and machine learning approaches to medical image computing