Download Free Learning Chest Imaging Book in PDF and EPUB Free Download. You can read online Learning Chest Imaging and write the review.

Chest Imaging Cases thoroughly encompasses the field of thoracic radiology through 137 cases covering common and challenging radiologic and clinical issues. The cases are divided into categories important for board examinations and clinical practice: diagnoses that should be made on radiography, trachea, esophagus, chest wall, thoracic outlet, congenital lesions, mediastinal lesions, pleura, diaphragm, pulmonary masses, diffuse lung disease, pulmonary vascular disease, thoracic trauma, and post-surgical complications. Using a problem and solution format, each case features high-quality images, practical differential diagnoses, approaches to daily practice, management pearls and suggested readings. Concise discussions keep cases brief and informative, allowing for efficient learning and interpretation. Chest Imaging Cases is the essential resource for honing diagnostic skills in thoracic radiology for students, physicians-in-training and practitioners.
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. ​
This open access book focuses on diagnostic and interventional imaging of the chest, breast, heart, and vessels. It consists of a remarkable collection of contributions authored by internationally respected experts, featuring the most recent diagnostic developments and technological advances with a highly didactical approach. The chapters are disease-oriented and cover all the relevant imaging modalities, including standard radiography, CT, nuclear medicine with PET, ultrasound and magnetic resonance imaging, as well as imaging-guided interventions. As such, it presents a comprehensive review of current knowledge on imaging of the heart and chest, as well as thoracic interventions and a selection of "hot topics". The book is intended for radiologists, however, it is also of interest to clinicians in oncology, cardiology, and pulmonology.
Deep Learning for Chest Radiographs enumerates different strategies implemented by the authors for designing an efficient convolution neural network-based computer-aided classification (CAC) system for binary classification of chest radiographs into "Normal" and "Pneumonia." Pneumonia is an infectious disease mostly caused by a bacteria or a virus. The prime targets of this infectious disease are children below the age of 5 and adults above the age of 65, mostly due to their poor immunity and lower rates of recovery. Globally, pneumonia has prevalent footprints and kills more children as compared to any other immunity-based disease, causing up to 15% of child deaths per year, especially in developing countries. Out of all the available imaging modalities, such as computed tomography, radiography or X-ray, magnetic resonance imaging, ultrasound, and so on, chest radiographs are most widely used for differential diagnosis between Normal and Pneumonia. In the CAC system designs implemented in this book, a total of 200 chest radiograph images consisting of 100 Normal images and 100 Pneumonia images have been used. These chest radiographs are augmented using geometric transformations, such as rotation, translation, and flipping, to increase the size of the dataset for efficient training of the Convolutional Neural Networks (CNNs). A total of 12 experiments were conducted for the binary classification of chest radiographs into Normal and Pneumonia. It also includes in-depth implementation strategies of exhaustive experimentation carried out using transfer learning-based approaches with decision fusion, deep feature extraction, feature selection, feature dimensionality reduction, and machine learning-based classifiers for implementation of end-to-end CNN-based CAC system designs, lightweight CNN-based CAC system designs, and hybrid CAC system designs for chest radiographs. This book is a valuable resource for academicians, researchers, clinicians, postgraduate and graduate students in medical imaging, CAC, computer-aided diagnosis, computer science and engineering, electrical and electronics engineering, biomedical engineering, bioinformatics, bioengineering, and professionals from the IT industry. Provides insights into the theory, algorithms, implementation, and application of deep-learning techniques for medical images such as transfer learning using pretrained CNNs, series networks, directed acyclic graph networks, lightweight CNN models, deep feature extraction, and conventional machine learning approaches for feature selection, feature dimensionality reduction, and classification using support vector machine, neuro-fuzzy classifiers Covers the various augmentation techniques that can be used with medical images and the CNN-based CAC system designs for binary classification of medical images focusing on chest radiographs Investigates the development of an optimal CAC system design with deep feature extraction and classification of chest radiographs by comparing the performance of 12 different CAC system designs
Revised to reflect the current cardiothoracic radiology curriculum for diagnostic radiology residency, this concise text provides the essential knowledge needed to interpret chest radiographs and CT scans. This edition includes nearly 800 new images obtained with state-of-the-art technology and a new chapter on cardiac imaging. A new patterns of lung disease section provides a one-stop guide to recognizing and understanding findings seen on thin-section CT. This edition also includes the new classification of idiopathic interstitial pneumonias, current techniques for evaluating solitary pulmonary nodules, an algorithm for managing incidental nodules seen on chest CT, the new World Health Organization classification of lung tumors, and numerous new cases in the self-assessment chapter.
The chest X-ray (CXR) or chest radiograph remains the most commonly ordered imaging study in medicine, yet paradoxically is often the most complex to learn, recall, and master effective and accurate interpretation. The chest radiograph includes all thoracic anatomy and provides a high yield, given the low cost and single source. This guide presents a structured lexicon for use by readers to reproducibly describe radiographic abnormalities of the chest detected on plain film CXRs. The lexicon is designed to provide readers with clinically significant differentiation of abnormalities detected. The content is structured to relate specific combinations of distinct radiographic findings to classes/groupings of pathological etiologies of those findings. Recognizing the individual findings and identifying their combination or lack of combination with other individual findings allows readers to create effective differential diagnoses that can then be further evaluated using other imaging procedures and/or non-radiographic clinical information. The book includes hundreds of images, including radiographs, CTs, graphics, and analogous models to help teach otherwise complex processes and radiographic principles.
Popular for its easy-to-use format, Felson’s Principles of Chest Roentgenology remains the must-have primer of chest radiology. With the inclusion of the latest imaging approaches and terminology, its unique programmed learning approach —presented in a highly interactive style—demystifies reading and interpreting radiologic images. High-quality images and diagrams are accompanied by multiple-choice review questions to reinforce key concepts. Additional online images plus self-assessment tests help you sharpen your skills and build confidence! "A must for anyone who fancies him/herself as a competent general radiologist." Reviewed by: John Reid, Borders General Hospital on behalf of RAD Magazine, December 2015 Quickly grasp the radiology fundamentals you need to know-including basic science, image interpretation, and terminology-with the popular "programmed learning" approach, which promotes fast learning and reference. Discern the nuances between modalities by comparing CT and MR images as well as traditional radiographs. View detailed clinical images covering all the image types you'll see on the boards including digital quality radiographs and an introduction of PET imaging, plus more advanced imaging such as CT and MRI than ever before. Test your skills and simulate the exam experience with updated content aligned with the new MCQ-format Board exam for easy preparation and review. Benefit the from more robust interactive offerings in an e-book format-with easy-to-access quizzes and board questions provided online. Expert Consult eBook version included with purchase. This enhanced eBook experience allows you to search all of the text, figures, references, and videos from the book on a variety of devices.
Learn the essentials of diagnostic chest radiology with this concisely written and visually stunning manual Chest Radiology: A Resident's Manual is a comprehensive introduction to reading and analyzing radiologic cardiopulmonary images. Readers are guided through systemic image analysis and can further enhance their learning experience with training cases found at the end of each chapter. Cases describe and discuss frequently asked questions regarding heart failure, bronchitis, pneumonia, bronchial carcinoma, fibrosis, pleural disorders, and more. This user-friendly manual will allow the reader to confidently answer the most important and commonly encountered questions related to plain chest radiographs in daily clinical practice. The easy-to-read layout pairs explanatory text on the left page with related drawings and images on the right, allowing readers to navigate their way through each section with ease. Features More than 600 high-resolution images and illustrations demonstrate a wealth of pathology Concise descriptions explain how to examine conventional x-ray and CT images Numerous callout boxes in each chapter highlight key takeaway points A scratch-off code provides access to a searchable online database of 250 must-know thoracic imaging cases This practice-oriented manual is an invaluable resource and reference guide for residents and radiologists-in-training.
Case Studies in Chest Imaging is a collection of 100 real cases, which demonstrate the use of modern imaging techniques and illustrate the appropriate use of imaging in the investigation of pathology. Compiled by experts in the field, Case Studies in Chest Imaging uses the most up-to-date and high quality images, including plain films, standard Multi Slice and High Resolution Thoracic CT scans. Each case is presented in a pedagogical style, with 1-4 images and accompanying questions, followed by answers and further relevant images. This is then augmented by an explanation of the imaging and key teaching points with references for further reading, making this book a valuable learning guide in an accessible form for respiratory and acute physicians, and radiologists in training.
Zero in on the most important cardiothoracic imaging knowledge with Chest Radiology: The Essentials! Ideal as a quick refresher for experienced radiologists as well as an efficient learning tool for residents, this best-selling radiology reference puts indispensible information at your fingertips in a compact and practical, high-yield format. Key Features Master nuances of imaging interpretation through a pattern-recognition approach that features extensive chest radiograph/CT correlations. Get up to date on the most current lung cancer staging classification, evidence-based guidelines for evaluating suspected pulmonary embolism (including those for pregnant patients), recently adopted lung cancer screening recommendations with low-dose CT of the chest, Fleischner Society guidelines for the follow-up of subsolid nodules, and new management guidelines for peri-fissural nodules. Successfully absorb key concepts through behaviorally based learning objectives that follow the most current curriculum from the Society of Thoracic Radiology’s Education Committee – as well as abundant mnemonics and superb imaging examples. Test your knowledge and prepare for exams with image-rich, case-based multiple-choice questions at the end of each chapter, a self-assessment examination at the end of the text, and additional self-assessment material online.