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Deep Learning for Chest Radiographs enumerates different strategies implemented by the authors for designing an efficient convolution;
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recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked;
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confidence of any radiologist, cardiologist, or clinician involved in the interpretation of pediatric chest images and is ideal for residents and;
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Chest X-rays for Medical Students offers a fresh analytical approach to identifying chest abnormalities, helping medical students, junior;
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Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This;
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of conventional chest radiographs, and for anyone who wants to learn how to insert chest tubes and central venous catheters. What does this book;
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interpretation of conventional chest radiographs, and for anyone who wants to learn how to insert chest tubes and central venous catheters. What;
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comparison between chest radiographs and CT images. Introductory chapters address the indications for and difficulties of chest radiography as well;
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comparison between chest radiographs and CT images. Introductory chapters address the indications for and difficulties of chest radiography as well;
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been the go-to learning resource for medical students, residents, radiologists, and others who order and interpret chest x-rays. It offers a
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help you to avoid making errors interpreting chest X-rays and decide, for example: if a temporary pacing wire has been inserted correctly;
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Learn the essentials of diagnostic chest radiology with this concisely written and visually stunning manual Chest Radiology: A;
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This atlas provides detailed information on the human lymphatic system in the head, neck and chest regions as well as the extremities, with;
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The conventional chest x-ray remains the first line in the diagnostic imaging of thoracic disease. In the new edition of this classic, you;
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specific aspect of diagnostic radiology required for undergraduate study. In addition, it discusses and assesses issues concerning basic principles;
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for which to select as the first diagnostic step, and exploration and interpretation of chest, abdomen, extremity, and spinal radiographs. A;
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research and literature; and describes a range of different methods that employ deep learning for object or landmark detection tasks in 2D and 3D;
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research and literature; and describes a range of different methods that employ deep learning for object or landmark detection tasks in 2D and 3D;
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This popular guide to the examination and interpretation of chest radiographs is an invaluable aid for medical students, junior doctors;
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, diagrams and tables enhance learning. Key points Quick reference guide to chest X-Ray interpretation Explains basic;
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This book is primarily for pediatric and adult emergency room physicians, primary care providers, hospitalists, and nurses. It will also be;
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strong foundation in chest x-ray interpretation. Three radiologists with years of clinical and teaching experience present fundamental principles;
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Interpreting chest X-rays can seem baffling and intimidating for senior medical students and newly qualified doctors. This highly;
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: Description of key anatomic landmarks for rapid, confident orientation in the chest and abdomen Precise, step-by-step guide to making the diagnosis;
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This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time;
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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to;
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of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications;
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