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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