Biomedical Data Mining for Information Retrieval

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Publisher : John Wiley & Sons
ISBN 13 : 111971124X
Total Pages : 450 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Biomedical Data Mining for Information Retrieval by : Sujata Dash

Download or read book Biomedical Data Mining for Information Retrieval written by Sujata Dash and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.

Explosion-Resistant Buildings

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Publisher : Springer Science & Business Media
ISBN 13 : 3540312897
Total Pages : 799 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Explosion-Resistant Buildings by : T. Bangash

Download or read book Explosion-Resistant Buildings written by T. Bangash and published by Springer Science & Business Media. This book was released on 2006-02-23 with total page 799 pages. Available in PDF, EPUB and Kindle. Book excerpt: This excellent book highlights all aspects of the analysis and design of buildings subject to impact, explosion and fire. It is a definitive reference book and contains 10 chapters from a wide international prospective. Three-dimensional finite element and discrete element techniques are included. They are applied to buildings such as the World Trade Center (WTC Twin Towers) and the Federal Building in Oklahoma on the basis of the designers drawings, data and other information. Many small case studies are also included. The book has a comprehensive bibliography and a large appendix providing background analysis and computer subroutines of recently developed programs.

Deep Learning and Data Labeling for Medical Applications

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Publisher : Springer
ISBN 13 : 3319469762
Total Pages : 289 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Deep Learning and Data Labeling for Medical Applications by : Gustavo Carneiro

Download or read book Deep Learning and Data Labeling for Medical Applications written by Gustavo Carneiro and published by Springer. This book was released on 2016-10-07 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty.The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques.

Deep Learning for Biomedical Applications

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

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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.

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017

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Author :
Publisher : Springer
ISBN 13 : 3319661795
Total Pages : 739 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 by : Maxime Descoteaux

Download or read book Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 written by Maxime Descoteaux and published by Springer. This book was released on 2017-09-03 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

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Author :
Publisher : Springer
ISBN 13 : 9783030597122
Total Pages : 785 pages
Book Rating : 4.5/5 (971 download)

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Book Synopsis Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 by : Anne L. Martel

Download or read book Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 written by Anne L. Martel and published by Springer. This book was released on 2020-10-03 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography

Medical Image Registration

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Publisher : CRC Press
ISBN 13 : 1420042475
Total Pages : 394 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Medical Image Registration by : Joseph V. Hajnal

Download or read book Medical Image Registration written by Joseph V. Hajnal and published by CRC Press. This book was released on 2001-06-27 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provid

Interventional Urology

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Publisher : Springer Nature
ISBN 13 : 3030735656
Total Pages : 567 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Interventional Urology by : Ardeshir R. Rastinehad

Download or read book Interventional Urology written by Ardeshir R. Rastinehad and published by Springer Nature. This book was released on 2021-11-17 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: This updated text provides a concise yet comprehensive and state-of-the-art review of evolving techniques in the new and exciting subspecialty of interventional urology. Significant advances in imaging technologies, diagnostic tools, fusion navigation, and minimally invasive image-guided therapies such as focal ablative therapies have expanded the interventional urologists’ clinical toolkit over the past decade. Organized by organ system with subtopics covering imaging technologies, interventional techniques, recipes for successful practice, pitfalls to shorten the learning curves for new technologies, and clinical outcomes for the vast variety of interventional urologic procedures, this second edition includes many more medical images as well as helpful graphics and reference illustrations. The second edition of Interventional Urology serves as a valuable resource for clinicians, interventional urologists, interventional radiologists, interventional oncologists, urologic oncologists, as well as scientists, researchers, students, and residents with an interest in interventional urology.

Image Analysis and Recognition

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Publisher : Springer
ISBN 13 : 3319598767
Total Pages : 673 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Image Analysis and Recognition by : Fakhri Karray

Download or read book Image Analysis and Recognition written by Fakhri Karray and published by Springer. This book was released on 2017-06-19 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Image Analysis and Recognition, ICIAR 2017, held in Montreal, QC, Canada, in July 2017. The 73 revised full papers presented were carefully reviewed and selected from 133 submissions. The papers are organized in the following topical sections: machine learning in image recognition; machine learning for medical image computing; image enhancement and reconstruction; image segmentation; motion and tracking; 3D computer vision; feature extraction; detection and classification; biomedical image analysis; image analysis in ophthalmology; remote sensing; applications.

Quantification of Biophysical Parameters in Medical Imaging

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Publisher : Springer
ISBN 13 : 9783031618451
Total Pages : 0 pages
Book Rating : 4.6/5 (184 download)

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Book Synopsis Quantification of Biophysical Parameters in Medical Imaging by : Ingolf Sack

Download or read book Quantification of Biophysical Parameters in Medical Imaging written by Ingolf Sack and published by Springer. This book was released on 2024-11-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this book offers six new chapters covering the latest developments in quantitative medical imaging, including artificial intelligence, MRI mapping, sonography, elastography and cardiac CT. All the other existing chapters have been updated and expanded, many with new text and figures, to reflect the rapid translation and advancement of technology in this exciting area of biomedical research. This updated edition presents fundamental knowledge on the imaging quantification of biophysical parameters for clinical diagnostic purposes. Clinical imaging scanners are considered by the authors as physical measurement systems capable of quantifying intrinsic parameters for the representation of the constitution and biophysical properties of tissues in vivo. In one respect, this approach fosters the development of new imaging methods for highly reproducible, system-independent, and quantitative biomarkers. These methods are greatly detailed in the book. Alternatively, this new edition equips the reader with a better understanding of how the physical properties of tissues interact with signal generation in medical imaging, opening up new insights into the complex and fascinating relationship between structure and function in living tissues. This updated edition is of interest to all those who recognize the limitations of clinical diagnosis based primarily on visual inspection of images, and who wish to learn more about the diagnostic potential of quantitative, biophysically-based medical imaging markers, as well as the challenges posed by the scarcity of such markers for next-generation imaging technologies.

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

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Publisher : Springer
ISBN 13 : 3319752383
Total Pages : 524 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries by : Alessandro Crimi

Download or read book Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries written by Alessandro Crimi and published by Springer. This book was released on 2018-02-16 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the Third International MICCAI Brainlesion Workshop, BrainLes 2017, as well as the International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, WMH, segmentation challenges, which were held jointly at the Medical Image computing for Computer Assisted Intervention Conference, MICCAI, in Quebec City, Canada, in September 2017. The 40 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections named: brain lesion image analysis; brain tumor image segmentation; and ischemic stroke lesion image segmentation.

Deep Learning for Cancer Diagnosis

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Publisher : Springer Nature
ISBN 13 : 9811563217
Total Pages : 311 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Deep Learning for Cancer Diagnosis by : Utku Kose

Download or read book Deep Learning for Cancer Diagnosis written by Utku Kose and published by Springer Nature. This book was released on 2020-09-12 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.

Modern Applications of 3D/4D Ultrasound Imaging in Radiotherapy

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Publisher : IOP Publishing Limited
ISBN 13 : 9780750325509
Total Pages : 222 pages
Book Rating : 4.3/5 (255 download)

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Book Synopsis Modern Applications of 3D/4D Ultrasound Imaging in Radiotherapy by : Emma Harris

Download or read book Modern Applications of 3D/4D Ultrasound Imaging in Radiotherapy written by Emma Harris and published by IOP Publishing Limited. This book was released on 2021-02-16 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a practical guide to the implementation of 3D/4D ultrasound imaging in radiography. Among its features are the coverage of the technology utilised for ultrasound-guided radiotherapy, clinical need and the advantages of using ultrasound. It is a useful tool for users that incorporates implementation, potential errors, uncertainties and training. This is a comprehensive review of the state-of-the-art technologies, which also looks at the future direction of this exciting field. Researchers, students, hospital physicists and radiographers will all find this book of use as it guides them through current clinical situation and examines the full potential of ultrasound in radiotherapy. Key Features Technology used for ultrasound guided RT Clinical need and advantages of using ultrasound Practical guide to implementation, including errors, uncertainties and training Comprehensive review of state-of-the-art Critical evaluation of field and future directions

Computed Tomography for Technologists: Exam Review

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Publisher : Lippincott Williams & Wilkins
ISBN 13 : 1496377273
Total Pages : 446 pages
Book Rating : 4.4/5 (963 download)

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Book Synopsis Computed Tomography for Technologists: Exam Review by : Lois Romans

Download or read book Computed Tomography for Technologists: Exam Review written by Lois Romans and published by Lippincott Williams & Wilkins. This book was released on 2018-07-23 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: Products purchased from 3rd Party sellers are not guaranteed by the Publisher for quality, authenticity, or access to any online entitlements included with the product. Computed Tomography for Technologists: Exam Review, Second Edition, is intended to be used as a companion to Computed Tomography for Technologists: A Comprehensive Text, Second Edition, and as a review of computed tomography on its own. This is an excellent resource for students preparing to take the advanced level certification exam offered by The American Registry of Radiologic Technologists (ARRT).

Diagnostic Ultrasound

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Publisher : Cambridge University Press
ISBN 13 : 1139488902
Total Pages : pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Diagnostic Ultrasound by : Peter R. Hoskins

Download or read book Diagnostic Ultrasound written by Peter R. Hoskins and published by Cambridge University Press. This book was released on 2010-06-17 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: All healthcare professionals practising ultrasound in a clinical setting should receive accredited training in the principles and practice of ultrasound scanning. This second edition of Diagnostic Ultrasound: Physics and Equipment provides a comprehensive introduction to the physics, technology and safety of ultrasound equipment, with high quality ultrasound images and diagrams throughout. It covers all aspects of the field at a level intended to meet the requirements of UK sonography courses. New to this edition: • Updated descriptions of ultrasound technology, quality assurance and safety. • Additional chapters dedicated to 3D ultrasound, contrast agents and elastography. • New glossary containing definitions of over 500 terms. The editors and contributing authors are all authorities in their areas, with contributions to the scientific and professional development of ultrasound at national and international level.

Contemporary Interventional Ultrasonography in Urology

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Publisher : Springer Science & Business Media
ISBN 13 : 1848002173
Total Pages : 194 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Contemporary Interventional Ultrasonography in Urology by : Inderbir S. Gill

Download or read book Contemporary Interventional Ultrasonography in Urology written by Inderbir S. Gill and published by Springer Science & Business Media. This book was released on 2009-02-19 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exciting new developments and applications of imaging techniques have emerged over the last few years, leading to many improvements in diagnosis and staging of urologic diseases. Refinements in the technology mean that imaging now is much more precise than even five years ago, and this has significantly enhanced its application within several key fields. As such, there are virtually no books currently available that cover the impact of these advances within urology leaving a major hole in the market. With its sound overview of the current state of affairs, and also its focus on highlighting future advances, this book would therefore find a significant audience within not only trainees, but also practicing clinicians too. Furthermore, the whole topic of ultrasonography is a relatively overlooked one, with very few modern books tackling any specific areas of the field. This book will be up-to-date and will pay attention to the unique applications of ultrasound within each discipline.

Bayesian Learning for Neural Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 1461207452
Total Pages : 194 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Bayesian Learning for Neural Networks by : Radford M. Neal

Download or read book Bayesian Learning for Neural Networks written by Radford M. Neal and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models can be safely exploited when training data is limited. This book demonstrates how Bayesian methods allow complex neural network models to be used without fear of the "overfitting" that can occur with traditional training methods. Insight into the nature of these complex Bayesian models is provided by a theoretical investigation of the priors over functions that underlie them. A practical implementation of Bayesian neural network learning using Markov chain Monte Carlo methods is also described, and software for it is freely available over the Internet. Presupposing only basic knowledge of probability and statistics, this book should be of interest to researchers in statistics, engineering, and artificial intelligence.