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This book addresses the application of infrared thermography in sports, examining the main benefits of this non-invasive, non-radiating and low-cost technique. Aspects covered include the detection of injuries in sports medicine, the assessment of sports performance due to the existing link between physical fitness and thermoregulation and the analysis of heat transfer for sports garments and sports equipment. Although infrared thermography is broadly considered to be a fast and easy-to-use tool, the ability to deliver accurate and repeatable measurements is an important consideration. Furthermore, it is important to be familiar with the latest sports studies published on this technique to understand its potential and limitations. Accordingly, this book establishes a vital link between laboratory tests and the sports field. .
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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 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"--
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