Description
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 in- tegrate deep learning as a core component have been applied to medical image detection, segmen- tation 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 lear- ning and deep learning for computer vision and medical image computing and analysis . – Covers common research problems in medical image analysis and their challenges – Describes deep learning methods and the theo- ries behind approaches for medical image analysis – Teaches how algorithms are applied to a broad range of application areas , including Chest X – ray, breast CAD , lung and chest , microscopy and pathology , etc . – Includes a Foreword written by Nicholas Ayache




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