Learning Diagnostic Imaging

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Machine Learning and Medical Imaging

Author : Guorong Wu,Dinggang Shen,Mert Sabuncu
Publisher : Academic Press
Page : 512 pages
File Size : 47,7 Mb
Release : 2016-08-11
Category : Technology & Engineering
ISBN : 9780128041147

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Machine Learning and Medical Imaging by Guorong Wu,Dinggang Shen,Mert Sabuncu Pdf

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

Learning Radiology

Author : William Herring
Publisher : Saunders
Page : 0 pages
File Size : 51,8 Mb
Release : 2015-04-16
Category : Diagnosis, Differential
ISBN : 0323328075

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Learning Radiology by William Herring Pdf

A must-have for anyone who will be required to read and interpret common radiologic images, Learning Radiology: Recognizing the Basics is an image-filled, practical, and easy-to-read introduction to key imaging modalities. Skilled radiology teacher William Herring, MD, masterfully covers exactly what you need to know to effectively interpret medical images of all modalities. Learn the latest on ultrasound, MRI, CT, patient safety, dose reduction, radiation protection, and more, in a time-friendly format with brief, bulleted text and abundant high-quality images. Then ensure your mastery of the material with additional online content, bonus images, and self-assessment exercises at Student Consult.

The Practice of Radiology Education

Author : Teresa van Deven,Kathryn M. Hibbert,Rethy K. Chhem
Publisher : Springer Science & Business Media
Page : 272 pages
File Size : 44,6 Mb
Release : 2009-10-13
Category : Medical
ISBN : 9783642032349

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The Practice of Radiology Education by Teresa van Deven,Kathryn M. Hibbert,Rethy K. Chhem Pdf

The practice of radiology education: challenges and trends will provide truly helpful gu- ance for those of you involved in teaching and training in radiology. The goal of this book is ultimately to improve patient care. As a companion piece to the first book radiology education: the scholarship of teaching and learning, this book focuses on applying the concepts at a practical level that can be applied flexibly within educational programs for radiology residents and fellows in any medical imaging learning environment. This book focuses on the application of scholarship in terms of the “dissemination of useful, testable and reproducible information to others. ” It links educational theory with practice and for those of you who wish to explore educational practice further, a number of chapters s- gest additional readings and resources. The publication is timely and congruent with one of the most important twenty-first century trends in medical education: the move from amateurism to professionalism in teaching. In the past, medical schools and other health professions’ training institutions have been criticized for their resistance to the adoption of the science of medical edu- tion. Very few of us learned how to teach as medical students and most of us have our teaching responsibilities thrust on us with little preparation. The award of a basic medical degree was assumed to carry with it basic teaching expertise, unfortunately an unw- ranted assumption in some cases.

Learning Diagnostic Imaging

Author : Ramón Ribes,Antonio Luna,Pablo R. Ros
Publisher : Springer Science & Business Media
Page : 259 pages
File Size : 48,6 Mb
Release : 2008-11-06
Category : Medical
ISBN : 9783540712077

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Learning Diagnostic Imaging by Ramón Ribes,Antonio Luna,Pablo R. Ros Pdf

This book is an introduction to diagnostic radiology (including nuclear medicine). Written in a user-friendly format, it takes into account that radiology is divided into many subspecialties that constitute a universe of their own. The book is subdivided into ten sections, such as musculoskeletal, thoracic, gastrointestinal, cardiovascular and breast imaging. Each chapter is presented with an introduction of the subspecialty and ten case studies with illustrations and comments.

Core Radiology

Author : Jacob Mandell
Publisher : Cambridge University Press
Page : 899 pages
File Size : 48,9 Mb
Release : 2013-09-19
Category : Medical
ISBN : 9781107679689

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Core Radiology by Jacob Mandell Pdf

Combines clinical images, full-color illustrations and bulleted text to create a comprehensive, up-to-date resource for learning and review.

Introduction to Medical Imaging

Author : Nadine Barrie Smith,Andrew Webb
Publisher : Cambridge University Press
Page : 128 pages
File Size : 54,6 Mb
Release : 2010-11-18
Category : Technology & Engineering
ISBN : 9781139492041

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Introduction to Medical Imaging by Nadine Barrie Smith,Andrew Webb Pdf

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 them with the tools needed to solve more difficult problems. The basic theory, instrumentation and state-of-the-art techniques and applications are covered, bringing students immediately up-to-date with recent developments, such as combined computed tomography/positron emission tomography, multi-slice CT, four-dimensional ultrasound, and parallel imaging MR technology. Clinical examples provide practical applications of physics and engineering knowledge to medicine. Finally, helpful references to specialised texts, recent review articles, and relevant scientific journals are provided at the end of each chapter, making this an ideal textbook for a one-semester course in medical imaging.

Machine Learning in Medical Imaging

Author : Mingxia Liu,Pingkun Yan,Chunfeng Lian,Xiaohuan Cao
Publisher : Springer Nature
Page : 702 pages
File Size : 47,7 Mb
Release : 2020-10-02
Category : Computers
ISBN : 9783030598617

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Machine Learning in Medical Imaging by Mingxia Liu,Pingkun Yan,Chunfeng Lian,Xiaohuan Cao Pdf

This book constitutes the proceedings of the 11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 68 papers presented in this volume were carefully reviewed and selected from 101 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.

Deep Learning Models for Medical Imaging

Author : KC Santosh,Nibaran Das,Swarnendu Ghosh
Publisher : Academic Press
Page : 172 pages
File Size : 47,5 Mb
Release : 2021-09-07
Category : Computers
ISBN : 9780128236505

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Deep Learning Models for Medical Imaging by KC Santosh,Nibaran Das,Swarnendu Ghosh Pdf

Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network (CNN), ResNet, InceptionNet and DenseNet are used. The results follow ‘with’ and ‘without’ transfer learning (including different optimization solutions), in addition to the use of data augmentation and ensemble networks. DL models for medical imaging are suitable for a wide range of readers starting from early career research scholars, professors/scientists to industrialists. Provides a step-by-step approach to develop deep learning models Presents case studies showing end-to-end implementation (source codes: available upon request)

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis

Author : Carole H. Sudre,Hamid Fehri,Tal Arbel,Christian F. Baumgartner,Adrian Dalca,Ryutaro Tanno,Koen Van Leemput,William M. Wells,Aristeidis Sotiras,Bartlomiej Papiez,Enzo Ferrante,Sarah Parisot
Publisher : Springer Nature
Page : 233 pages
File Size : 52,5 Mb
Release : 2020-10-05
Category : Computers
ISBN : 9783030603656

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis by Carole H. Sudre,Hamid Fehri,Tal Arbel,Christian F. Baumgartner,Adrian Dalca,Ryutaro Tanno,Koen Van Leemput,William M. Wells,Aristeidis Sotiras,Bartlomiej Papiez,Enzo Ferrante,Sarah Parisot Pdf

This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. For UNSURE 2020, 10 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.

Learning Radiology

Author : William Herring
Publisher : Elsevier Health Sciences
Page : 336 pages
File Size : 46,9 Mb
Release : 2011-04-14
Category : Medical
ISBN : 9780323074445

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Learning Radiology by William Herring Pdf

Learning Radiology: Recognizing the Basics, 2nd Edition, is an image-filled, practical, and clinical introduction to this integral part of the diagnostic process. William Herring, MD, a skilled radiology teacher, masterfully covers everything you need to know to effectively interpret medical images. Learn the latest on ultrasound, MRI, CT, and more, in a time-friendly format with brief, bulleted text and abundant high-quality images. Then ensure your mastery of the material with additional online content, bonus images, and self-assessment exercises at www.studentconsult.com. Identify a wide range of common and uncommon conditions based upon their imaging findings. Quickly grasp the fundamentals you need to know through easy-access bulleted text and more than 700 images. Arrive at diagnoses by following a pattern recognition approach, and logically overcome difficult diagnostic challenges with the aid of decision trees. Learn from the best, as Dr. Herring is both a skilled radiology teacher and the host of his own specialty website, www.learningradiology.com. Easily master the fundamental principles of MRI, ultrasound, and CT with new chapters that cover principles of each modality and the recognition of normal and abnormal findings. Know the basics and be more confident when interpreting diagnostic imaging studies

Deep Learning for Medical Image Analysis

Author : S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
Publisher : Academic Press
Page : 544 pages
File Size : 44,7 Mb
Release : 2023-12-01
Category : Computers
ISBN : 9780323858885

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Deep Learning for Medical Image Analysis by S. Kevin Zhou,Hayit Greenspan,Dinggang Shen Pdf

Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis. · Covers common research problems in medical image analysis and their challenges · Describes the latest deep learning methods and the theories behind approaches for medical image analysis · Teaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment · Includes a Foreword written by Nicholas Ayache

Deep Learning Applications in Medical Imaging

Author : Saxena, Sanjay,Paul, Sudip
Publisher : IGI Global
Page : 274 pages
File Size : 49,5 Mb
Release : 2020-10-16
Category : Medical
ISBN : 9781799850724

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Deep Learning Applications in Medical Imaging by Saxena, Sanjay,Paul, Sudip Pdf

Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare. Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of the interior of a body for medical intervention and clinical analysis. While highlighting topics such as artificial neural networks, disease prediction, and healthcare analysis, this publication explores image acquisition and pattern recognition as well as the methods of treatment and care. This book is ideally designed for diagnosticians, medical imaging specialists, healthcare professionals, physicians, medical researchers, academicians, and students.

Radiology Education

Author : Kathryn M. Hibbert,Rethy K. Chhem,Teresa Van Deven,Shih-chang Wang
Publisher : Springer Science & Business Media
Page : 215 pages
File Size : 43,6 Mb
Release : 2012-04-23
Category : Medical
ISBN : 9783642276002

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Radiology Education by Kathryn M. Hibbert,Rethy K. Chhem,Teresa Van Deven,Shih-chang Wang Pdf

This book reviews the philosophies, theories, and principles that underpin assessment and evaluation in radiology education, highlighting emerging practices and work done in the field. The sometimes conflicting assessment and evaluation needs of accreditation bodies, academic programs, trainees, and patients are carefully considered. The final section of the book examines assessment and evaluation in practice, through the development of rich case studies reflecting the implementation of a variety of approaches. This is the third book in a trilogy devoted to radiology education. The previous two books focused on the culture and the learning organizations in which our future radiologists are educated and on the application of educational principles in the education of radiologists. Here, the trilogy comes full circle: attending to the assessment and evaluation of the education of its members has much to offer back to the learning of the organization.

Machine Learning in Medical Imaging

Author : Chunfeng Lian,Xiaohuan Cao,Islem Rekik,Xuanang Xu,Pingkun Yan
Publisher : Springer Nature
Page : 723 pages
File Size : 54,6 Mb
Release : 2021-09-25
Category : Computers
ISBN : 9783030875893

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Machine Learning in Medical Imaging by Chunfeng Lian,Xiaohuan Cao,Islem Rekik,Xuanang Xu,Pingkun Yan Pdf

This book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.* The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc. *The workshop was held virtually.

Radiology Education

Author : Rethy K. Chhem,Kathryn M. Hibbert,Teresa van Deven
Publisher : Springer Science & Business Media
Page : 308 pages
File Size : 48,8 Mb
Release : 2008-10-01
Category : Medical
ISBN : 9783540689898

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Radiology Education by Rethy K. Chhem,Kathryn M. Hibbert,Teresa van Deven Pdf

This is a book about scholarship in the broadest sense. The writing of this book has shown how through scholarship we can bring together academics, practitioners, scientists, radio logists, and administrators from around the world to begin the kinds of conversations that promise to move us to a new way of thinking about and enacting radiology education. Over the past century, we have witnessed tremendous change in biomedical science and the scope of this change has demanded new approaches to medical education. The most significant of the changes in medical education has been a fundamental paradigm shift from a teacher-centered approach to a student-centered approach. This shift, c- bined with the explosion of knowledge, has pressed medical schools to undertake major curricular and institutional reform. At the same time, progress in medical education research methods has led to innovative approaches to support the improvement of learning methods and evaluation. Over the past several years there has also been a shift toward thinking about and planning for medical education beyond the undergraduate level to include postgraduate and continuing medical education, but also to consider learning within the professional environment and the development of professional continuous education. Viewing medical education as a continuum that spans from the first year of medical school until retirement introduces new ways to conceptualize the teaching and learning needs that address lifelong learning demands that extend over 30 or 40 years.