Author: Jinxin Liu
Publisher: Springer Nature
ISBN: 9811610827
Category : Medical
Languages : en
Pages : 192
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Book Description
This book presents X-ray and CT findings of patients with 2019 Novel Coronavirus (2019-nCoV) pneumonia in early, progressive, critical, and recover stage. It starts with a general review of CT features of new coronavirus pneumonia. In the following chapters, imaging manifestations in different groups and stages are presented, especially CT findings of asymptomatic COVID-19 patients and those first nucleic tests for the novel coronavirus are negative, but turn positive in one day or two. In addition, imaging and pathological analysis of COVID-19 death are summarized in the last chapter. The book provides a valuable reference source for radiologists and doctors working in the area of coronavirus pneumonia.
Author: Sanjeev Bhalla
Publisher:
ISBN: 0199858063
Category : Medical
Languages : en
Pages : 601
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Book Description
Resource ordered for the Diagnostic Medical Sonography program 105262 and Radiography 105261 program.
Author: Iacopo Carbone
Publisher: Springer Nature
ISBN: 3030357651
Category : Medical
Languages : en
Pages : 182
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Book Description
This book offers a comprehensive overview of all major pathologic conditions involving the lung and mediastinum and the related diagnostic procedures. Oncologic and non-oncologic conditions are reviewed and described in detail, featuring, besides normal anatomy, also high quality images from several modalities (including X-ray, CT, MR and PET), as well as b/w and color illustrations and line drawings. Complications associated with surgical and oncological treatments are also presented in detail with extensive imaging examples. The book provides a thorough coverage of the topic of thoracic imaging, yet considering a concise and synthetic approach essential to optimal learning. The book will be a useful reference guide for the everyday clinical practice of young radiologists, residents and medical students.
Author: Jonathan Corne
Publisher: Elsevier Health Sciences
ISBN: 0702055018
Category : Medical
Languages : en
Pages : 185
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Book Description
This popular guide to the examination and interpretation of chest radiographs is an invaluable aid for medical students, junior doctors, nurses, physiotherapists and radiographers. Translated into over a dozen languages, this book has been widely praised for making interpretation of the chest X-ray as simple as possible The chest X-ray is often central to the diagnosis and management of a patient. As a result every doctor requires a thorough understanding of the common radiological problems. This pocketbook describes the range of conditions likely to be encountered on the wards and guides the reader through the diagnostic process based on the appearance of the abnormality shown. - Covers the full range of common radiological problems. - Includes valuable advice on how to examine an X-ray. - Assists the doctor in determining the nature of the abnormality. - Points the clinician towards a possible differential diagnosis. - A larger page size allows for larger and clearer illustrations. - A new chapter on the sick patient covers the patient on ITU and the appearance of lines and tubes. - There is extended use of CT imaging with advice on choosing modalities depending on the clinical circumstances. - A new section of chest x-ray problems incorporates particularly challenging case histories. - The international relevance of the text has been expanded with additional text and images.
Author: Mohamed Loey
Publisher: Infinite Study
ISBN:
Category : Medical
Languages : en
Pages : 17
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Book Description
In this study, five different deep convolutional neural network-based models (AlexNet, VGGNet16, VGGNet19, GoogleNet, and ResNet50) have been selected for the investigation to detect the coronavirus infected patient using chest CT radiographs digital images. The classical data augmentations along with CGAN improve the performance of classification in all selected deep transfer models. The Outcomes show that ResNet50 is the most appropriate classifier to detect the COVID-19 from chest CT dataset using the classical data augmentation and CGAN with testing accuracy of 82.91%.
Author: Anthony C. Chang
Publisher: Academic Press
ISBN: 0128233389
Category : Science
Languages : en
Pages : 549
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Book Description
Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology. - Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything - Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists - Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future - Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare
Author: Lucio Olivetti
Publisher: Springer
ISBN: 331910750X
Category : Medical
Languages : en
Pages : 279
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Book Description
This book is designed to meet the needs of radiologists and radiographers by clearly depicting the anatomy that is generally visible on imaging studies. It presents the normal appearances on the most frequently used imaging techniques, including conventional radiology, ultrasound, computed tomography, and magnetic resonance imaging. Similarly, all relevant body regions are covered: brain, spine, head and neck, chest, mediastinum and heart, abdomen, gastrointestinal tract, liver, biliary tract, pancreas, urinary tract, and musculoskeletal system. The text accompanying the images describes the normal anatomy in a straightforward way and provides the medical information required in order to understand why we see what we see on diagnostic images. Helpful correlative anatomic illustrations in color have been created by a team of medical illustrators to further facilitate understanding.
Author: Paul S. Babyn
Publisher: Thieme
ISBN: 1604064943
Category : Medical
Languages : en
Pages : 1056
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Book Description
125 cases addressing "real-life" clinical problems Complete with the insights of leading pediatric radiologists, Teaching Atlas of Pediatric Imaging provides 125 cases that address the challenging "real-life" clinical problems that you are likely to encounter. Each chapter presents a different case with a complete patient work-up that includes clinical presentation, diagnosis, differential diagnoses, radiological and clinical findings, treatment summary and suggested readings. With a view to providing the opportunity for self-assessment, the authors omit the diagnosis from the first pages of each case to enable self-testing and review. Highlights: Easy-to-access arrangement of cases based on anatomy: head and neck, chest, heart, abdomen, pelvis, and the musculoskeletal system Coverage of a wide spectrum of diseases, from the very common to more important uncommon entities, including congenital heart disease, bone dysplasias and more Differential diagnoses for each case, as well as information on etiology, pathology, treatment, and complications "Pearls" and "Pitfalls" that help you identify important points and avoid errors in image interpretation Here is a valuable resource for the clinician at every level, from the resident preparing for the radiology board examinations, to the practitioner seeking the Certificate of Added Qualification in Pediatric Radiology, to the general radiologist or pediatrician seeking a practical reference text.
Author: Stephen M. Ellis
Publisher: World Health Organization
ISBN: 9241546778
Category : Medical
Languages : en
Pages : 154
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Book Description
The present volume in the series of WHO manuals in diagnostic imaging, the Radiographic Anatomy and Interpretation of the Chest provides an exhaustive description of radiographic normal anatomy as well as the most common pathologic changes seen in the chest, focusing specifically on pulmonary and cardiac problems. The text aims to provide an aid to the interpretation of the chest radiograph (CXR). It is not a comprehensive account of all possible chest diseases but a descriptive text to help identify the way in which chest pathology is manifest and diagnosed on CXR. The initial chapters deal with interpretive skills and pattern recognition and the later chapters demonstrate specific pathologies. Backed by high-quality reproduction of radiographs, this manual will prove essential reading to general practitioners, medical specialists, radiographers, and radiologists in any medical settings, although focusing specifically on needs in small and mid-size hospitals.
Author: Erik R. Ranschaert
Publisher: Springer
ISBN: 3319948784
Category : Medical
Languages : en
Pages : 369
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Book Description
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.
