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Thoracic Imaging, Second Edition, written by two of the world's most respected specialists in thoracic imaging, is the most comprehensive text-reference to address imaging of the heart and lungs. Inside you'll discover the expert guidance required for the accurate radiologic assessment and diagnosis of both congenital and acquired cardiovascular and pulmonary diseases. New topics in this edition include coronary artery CT, myocardial disease, pericardial disease, and CT of ischemic heart disease. This edition has a new full-color design and many full-color images, including PET-CT. A companion website will offer fully searchable text and images.
Crush Step 2: The Ultimate USMLE Step 2 Review—the name and reputation speak for themselves! Drs. Theodore X. O'Connell and Mayur Movalia bring a fresh perspective to this trusted classic that offers you the most high-yield coverage of all of the specialty and subspecialty knowledge tested on the most recent administrations of the USMLE Step 2 exam. A well-written, easily accessible approach, with plenty of helpful lists and tables, makes studying stress-free. You'll also find numerous tips, insights, and guidance on maximizing your score and on getting the most benefit from computer-based simulations. If you know all of the concepts in this book, you should do much better than pass USMLE ...
Pathology of lung cancers is presented, along with targeted therapies current in 2010. Additionally, asbestosis, mesothelioma, and malignant lymphomas are presented with reference to their features, differential diagnoses, and prognosis. Topics include: Bronchioloalveolar carcinoma and minimally invasive adenocarcinoma; Neuroendocrine tumors; Lung carcinoma staging problems; Targeted therapies in lung cancer; Benign and malignant mesothelial proliferations; Asbestos related lung disease; Primary Lymphoproliferative diseases of the lung; Vasculitis; and Small airway disease.
A must-have reference through three outstanding editions, Webb & Higgins Thoracic Imaging, 4th Edition, is your one-stop source for current, accurate coverage of optimal imaging of the heart and lungs. Drs. Travis S. Henry and Karen G. Ordovas continue the tradition of excellence, providing practical, authoritative guidance for the radiologic assessment and diagnosis of both congenital and acquired cardiovascular and pulmonary disease. Updated content, new guidelines and classifications, and new online features ensure that this leading text-reference remains your #1 choice for staying current in this complex field.
This book constitutes the refereed proceedings of the Second MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2020, and the First MICCAI Workshop on Distributed and Collaborative Learning, DCL 2020, held in conjunction with MICCAI 2020 in October 2020. The conference was planned to take place in Lima, Peru, but changed to an online format due to the Coronavirus pandemic. For DART 2020, 12 full papers were accepted from 18 submissions. They deal with methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical settings by making them robust and consistent across different domains. For DCL 2020...
This book constitutes the refereed proceedings of the 5th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2023, which was held in conjunction with MICCAI 2023, in October 2023. The 16 full papers presented in this book were carefully reviewed and selected from 32 submissions. They discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains.
This book constitutes the refereed proceedings of the Third MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2021, and the First MICCAI Workshop on Affordable Healthcare and AI for Resource Diverse Global Health, FAIR 2021, held in conjunction with MICCAI 2021, in September/October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic. DART 2021 accepted 13 papers from the 21 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains. For FAIR 2021, 10 papers from 17 submissions were accepted for publication. They focus on Image-to-Image Translation particularly for low-dose or low-resolution settings; Model Compactness and Compression; Domain Adaptation and Transfer Learning; Active, Continual and Meta-Learning.
Gain the pathology knowledge you need to produce quality radiographic images! A fully illustrated, easy-to-follow guide, Comprehensive Radiographic Pathology, 8th Edition describes the pathologies that can be diagnosed with medical imaging. The book provides an understanding of the principles of pathology and explains how to recognize the radiographic appearance of specific diseases and conditions. By mastering the suggested imaging techniques, you will produce the high-resolution images that lead to accurate diagnoses. Written by Ronald L. Eisenberg, an experienced radiologist and educator, this book will help you become a more competent professional and a valued contributor to the diagnost...
This issue gives the general radiologist a solid overview of lung cancer imaging techniques. CT screening for lung cancer is discussed, and the evaluation and management of indeterminate pulmonary nodules is reviewed. Revised TNM lung cancer staging, as well as the optimal imaging protocols for lung cancer staging (CT, MR and PET) are thoroughly examined. A multidisciplinary approach to tissue sampling and updated histopathologic classification of lung cancer are discussed. Image-guided ablative therapies for lung cancer are reviewed. Finally, future trends in lung cancer diagnosis and staging and genetics are reviewed, as well as novel biomarkers for lung cancer detection.