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Deep Learning Techniques for Biomedical and Health Informatics

  • 1st Edition - January 14, 2020
  • Editors: Basant Agarwal, Valentina Emilia Balas, Lakhmi C. Jain, Ramesh Chandra Poonia, Manisha Sharma
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 1 2 - 8 1 9 0 6 1 - 6
  • eBook ISBN:
    9 7 8 - 0 - 1 2 - 8 1 9 0 6 2 - 3

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informati… Read more

Deep Learning Techniques for Biomedical and Health Informatics

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Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and practitioners will find it very useful. Chapters go from basic methodology to advanced methods, including detailed descriptions of proposed approaches and comprehensive critical discussions on experimental results and how they are applied to Biomedical Engineering, Electronic Health Records, and medical image processing.