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Learning Diagnostic Imaging
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Book Synopsis Learning Diagnostic Imaging by : Ramón Ribes
Download or read book Learning Diagnostic Imaging written by Ramón Ribes and published by Springer Science & Business Media. This book was released on 2008-11-06 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Learning and Medical Imaging by : Guorong Wu
Download or read book Machine Learning and Medical Imaging written by Guorong Wu and published by Academic Press. This book was released on 2016-08-11 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Medical Imaging written by K.C. Santosh and published by CRC Press. This book was released on 2019-08-20 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.
Book Synopsis Anatomy for Diagnostic Imaging by : Michelle McNicholas
Download or read book Anatomy for Diagnostic Imaging written by Michelle McNicholas and published by . This book was released on 2024-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Anatomy for Diagnostic Imaging covers everything trainee radiologists need to know about anatomy shown in the full range of medical imaging, including CT, MR and ultrasound. It provides an initial traditional anatomical description of each organ or system, followed by the radiological anatomy of that part of the body with labelled imaging examples in all modalities. A series of 'imaging pearls' emphasises clinically and radiologically important points. Written by radiologists with immense clinical and teaching experience, with seven new contributors, the fourth edition has been fully updated reflecting advances in imaging and evolving clinical practice. It will be indispensable for radiology registrars and residents, especially candidates for postgraduate radiology exams. A manageable size, it will also be of great use to radiographers, medical students, physicians, surgeons and others whose work requires an understanding of radiological anatomy. It is also an extremely useful reporting station reference book. Covers the entire gamut of medical imaging Easy to understand - aims to provide the essential radiological anatomy Addresses the needs of candidates for postgraduate exams such as FRCR Simple all new colour diagrams for optimal learning and easy recall Provides key images in all modalities ‘Imaging pearls’ emphasise clinically and radiologically important points All new colour diagrams Over 100 new and updated images New and updated content including: Spaces of the head and neck and lymph node levels Identification of cerebral lobes and gyri on axial brain images Updated spinal cord segmental anatomy and dermatomes High resolution CT anatomy of lung parenchyma Liver MRI and contrast agents Prostate MRI Cone beam CT wrist anatomy Focus on MSK anatomy important to sports injuries Updates in modern breast imaging
Book Synopsis Deep Learning Models for Medical Imaging by : KC Santosh
Download or read book Deep Learning Models for Medical Imaging written by KC Santosh and published by Academic Press. This book was released on 2021-09-07 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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)
Book Synopsis Learning Ultrasound Imaging by : Jose Luís del Cura
Download or read book Learning Ultrasound Imaging written by Jose Luís del Cura and published by Springer Science & Business Media. This book was released on 2012-10-26 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a practical approach to the world of diagnostic ultrasound. It has been structured in a reader-friendly, case-based format that makes it easy and enjoyable to learn the basics of the applications and interpretation of ultrasound. Each case includes illustrations, descriptions of the imaging findings, and technical details and serves to identify the essential imaging features of the pathology under consideration, thus assisting the reader in the diagnosis of similar cases. The book is divided into 17 short chapters that review the most important areas of ultrasound application and also document the latest advances in the use of contrast and interventional ultrasound. The authors treat every topic from a “how to do it” perspective with the aim of imparting their wide experience in use of the technique. This book forms part of the Learning Imaging series for medical students, residents, less experienced radiologists, and other medical staff.
Book Synopsis Machine Learning in Medical Imaging by : Mingxia Liu
Download or read book Machine Learning in Medical Imaging written by Mingxia Liu and published by Springer Nature. This book was released on 2020-10-02 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Introduction to Diagnostic Radiology by : Khaled Elsayes
Download or read book Introduction to Diagnostic Radiology written by Khaled Elsayes and published by McGraw Hill Professional. This book was released on 2014-11-22 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical clinically relevant introduction to diagnostic radiology Introduction to Basic Radiology is written to provide non-radiologists with the level of knowledge necessary to order correct radiological examinations, improve image interpretation, and enhance their interpretation of various radiological manifestations. The book focuses on the clinical scenarios most often encountered in daily practice and discusses practical imaging techniques and protocols used to address common problems. Relevant case scenarios are included to demonstrate how to reach a specific diagnosis. Introduction to Basic Radiology is divided into ten chapters. The first two chapters provide basic information on various diagnostic imaging techniques and control agents. Each of the following chapters discuss imaging of specific organ systems and begin with a description of the imaging modality of choice and illustrates the relevant features to help simplify the differential diagnosis. You will also find important chapters on pediatric radiology and women's imaging. Unlike other introductory texts on the subject, this book treats diagnosis from a practical point of view. Rather than discuss various diseases and classify them from the pathologic standpoint, Introduction to Basic Radiology utilizes cases from the emergency room and physician's offices and uses a practical approach to reach a diagnosis. The cases walk you through a radiology expert’s analysis of imaging patterns. These cases are presented progressively, with the expert's thinking process described in detail. The cases highlight clinical presentation, clinical suspicion, modality of choice, radiologic technique, and pertinent imaging features of common disease processes.
Book Synopsis Learning Musculoskeletal Imaging by : Ramón Ribes
Download or read book Learning Musculoskeletal Imaging written by Ramón Ribes and published by Springer Science & Business Media. This book was released on 2010-03-10 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a concise introduction to musculoskeletal imaging. Each chapter includes an introduction and ten case studies with illustrations and comments from anatomical, physiopathological and radiological standpoints along with bibliographic recommendations.
Author :Francisco de Asís Bravo-Rodríguez Publisher :Springer Science & Business Media ISBN 13 :9783642229992 Total Pages :226 pages Book Rating :4.2/5 (299 download)
Book Synopsis Learning Neuroimaging by : Francisco de Asís Bravo-Rodríguez
Download or read book Learning Neuroimaging written by Francisco de Asís Bravo-Rodríguez and published by Springer Science & Business Media. This book was released on 2011-10-26 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended as an introduction to neuroradiology and aims to provide the reader with a comprehensive overview of this highly specialized radiological subspecialty. One hundred illustrated cases from clinical practice are presented in a standard way. Each case is supported by representative images and is divided into three parts: a brief summary of the patient’s medical history, a discussion of the disease, and a description of the most characteristic imaging features of the disorder. The focus is not only on common neuroradiological entities such as stroke and acute head trauma but also on less frequent disorders that the practitioner should recognize. Learning Neuroimaging: 100 Essential Cases is an ideal resource for neuroradiology and radiology residents, neurology residents, neurosurgery residents, nurses, radiology technicians, and medical students.
Book Synopsis Learning Radiology by : William Herring
Download or read book Learning Radiology written by William Herring and published by Saunders. This book was released on 2015-04-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Search Pattern: A Systematic Approach to Diagnostic Imaging by : Long H. Tu
Download or read book Search Pattern: A Systematic Approach to Diagnostic Imaging written by Long H. Tu and published by Independently Published. This book was released on 2022-06-30 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Search Pattern is a collection of step-by-step guides to more than a hundred of the most common types of studies in radiology. Blind spots reported in the literature as well as practical wisdom from experts is synthesized into highly structured processes that can guide the development of better practice. Much of the contained insight has never been organized in one place before. Search Pattern covers almost every type of study that a radiologist will encounter in training or practice. This text is written with the assumption that the reader has familiarity with basic radiologic terminology, anatomy, and physics. In the interest of brevity, almost all information outside of the organized approaches is omitted. The reader is encouraged to look up terms, images, and background information from supplementary resources. Formalized teaching of search patterns is a missing part of the educational literature in our field. Hopefully this book helps fill that void. It is one that I would have benefited from greatly when I was a resident.
Book Synopsis The Practice of Radiology Education by : Teresa van Deven
Download or read book The Practice of Radiology Education written by Teresa van Deven and published by Springer Science & Business Media. This book was released on 2009-10-13 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Learning Abdominal Imaging by : Antonio Luna
Download or read book Learning Abdominal Imaging written by Antonio Luna and published by Springer Science & Business Media. This book was released on 2012-03-23 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an ideal introduction to the use of radiology in imaging diseases of the liver, gallbladder and biliary system, pancreas, spleen, and gastrointestinal tract. Each of the ten chapters is devoted to a particular organ and contains ten illustrated case reports drawn from clinical practice. Common clinical situations and indications for imaging are reviewed, and clear descriptions are provided of the various imaging techniques that will assist in resolving diagnostic and therapeutic dilemmas. This book is recommended for medical students, residents, and inexperienced abdominal radiologists.
Download or read book Core Radiology written by Ellen X. Sun and published by Cambridge University Press. This book was released on 2021-09-30 with total page 1270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embodying the principle of 'everything you need but still easy to read', this fully updated edition of Core Radiology is an indispensable aid for learning the fundamentals of radiology and preparing for the American Board of Radiology Core exam. Containing over 2,100 clinical radiological images with full explanatory captions and color-coded annotations, streamlined formatting ensures readers can follow discussion points effortlessly. Bullet pointed text concentrates on essential concepts, with text boxes, tables and over 400 color illustrations supporting readers' understanding of complex anatomic topics. Real-world examples are presented for the readers, encompassing the vast majority of entitles likely encountered in board exams and clinical practice. Divided into two volumes, this edition is more manageable whilst remaining comprehensive in its coverage of topics, including expanded pediatric cardiac surgery descriptions, updated brain tumor classifications, and non-invasive vascular imaging. Highly accessible and informative, this is the go-to introductory textbook for radiology residents worldwide.
Book Synopsis Machine Learning in Bio-Signal Analysis and Diagnostic Imaging by : Nilanjan Dey
Download or read book Machine Learning in Bio-Signal Analysis and Diagnostic Imaging written by Nilanjan Dey and published by Academic Press. This book was released on 2018-11-30 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These intelligent recommender systems are designed based on machine learning, soft computing, computer vision, artificial intelligence and data mining techniques. Classification and clustering techniques, such as PCA, SVM, techniques, Naive Bayes, Neural Network, Decision trees, and Association Rule Mining are among the approaches presented. The design of high accuracy decision support systems assists and eases the job of healthcare practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the demands of radiologists in improving the efficiency and quality of diagnosis in dealing with unique and complex diseases in real time by reducing human errors and allowing fast and rigorous analysis. The book's target audience includes professors and students in biomedical engineering and medical schools, researchers and engineers. Examines a variety of machine learning techniques applied to bio-signal analysis and diagnostic imaging Discusses various methods of using intelligent systems based on machine learning, soft computing, computer vision, artificial intelligence and data mining Covers the most recent research on machine learning in imaging analysis and includes applications to a number of domains
Book Synopsis Learning Chest Imaging by : John C. Pedrozo Pupo
Download or read book Learning Chest Imaging written by John C. Pedrozo Pupo and published by Springer Science & Business Media. This book was released on 2013-03-01 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radiology of the thorax forms an indispensable element of the basic diagnostic process for many conditions and is of key importance in a variety of medical disciplines. This user-friendly book provides an overview of the imaging techniques used in chest radiology and presents numerous instructive case-based images with accompanying explanatory text. A wide range of clinical conditions and circumstances are covered with the aim of enabling the reader to confidently interpret chest images by correctly identifying structures of interest and the causes of abnormalities. This book, which will be an invaluable learning tool, forms part of the Learning Imaging series for medical students, residents, less experienced radiologists, and other medical staff.
