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Deep Learning for Medical Image Analysis
English
355 b
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Deep Learning for Medical Image Analysis provides a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms have been applied to medical image detection, segmentation and registration, and computer-aided analysis using a wide variety of application areas. The book 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. Covers common research problems in medical image analysis and their challengesDescribes deep learning methods and the theories behind approaches for medical image analysisTeaches how algorithms are applied to a broad range of application areas, including chest X-ray, breast CAD, lung and chest, and small intestine
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