Marginal Space Learning for Medical Image Analysis, Zheng
Автор: Kathy McQuillen Martensen Название: Workbook for Radiographic Image Analysis ISBN: 0323280714 ISBN-13(EAN): 9780323280716 Издательство: Elsevier Science Рейтинг: Цена: 9283.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The companion workbook for Radiographic Analysis, 3rd Edition, provides you with ample opportunities to practice and apply information from the text. With study questions, additional suboptimal images for analysis, and an answer key to guide you through the problems, you'll have all the tools you need to hone your imaging and evaluation skills. Positioning and technique exercises prepare you for success in radiography practice.
Suboptimal images with questions ensure you know and understand what features need to be visible in an image and how to adjust when the images are incorrect or poor. Extra images offer additional practice with identifying poor quality images and recognizing how they are produced. Study questions reinforce text material and prepare you for certification.
NEW! More suboptimal images for analysis and correction help you hone your evaluation skills. NEW! Expansion of pediatric, obesity, and trauma sections provide pertinent information needed for clinical success.
Автор: Zhou, Kevin Название: Deep Learning for Medical Image Analysis ISBN: 0128104082 ISBN-13(EAN): 9780128104088 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas.
Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis.
Описание: This textbook is an overview of theories, methodologies, and recent developments in the field, covering the theoretical foundation and providing a complete summary of the latest advances. It also presents key issues to be considered in making a real system.
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