Deep Learning for Medical Image Analysis

  • Publsiher : Academic Press
  • Release : 18 January 2017
  • ISBN : 9780128104095
  • Page : 458 pages
  • Rating : 4/5 from 21 voters

Download or read online book entitled Deep Learning for Medical Image Analysis written by S. Kevin Zhou and published by Academic Press. This book was released on 18 January 2017 with total page 458 pages. Available in PDF, EPUB and Kindle. Get best books that you want by click Get Book Button and Read as many books as you like. Book Excerpt : 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. Covers common research problems in medical image analysis and their challenges Describes deep learning methods and the theories 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

Deep Learning for Medical Image Analysis

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ISBN: 9780128104095
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