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Deep Learning Techniques for Biomedical and Health Informatics - (Paperback)

Deep Learning Techniques for Biomedical and Health Informatics - (Paperback) - 1 of 1
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About this item

Highlights

  • 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.
  • Author(s): Basant Agarwal & Valentina Emilia Balas & Lakhmi C Jain & Ramesh Chandra Poonia & Manisha Sharma
  • 367 Pages
  • Science, Biotechnology

Description



Book Synopsis



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.

Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W) x .76 Inches (D)
Weight: 1.39 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 367
Genre: Science
Sub-Genre: Biotechnology
Publisher: Academic Press
Format: Paperback
Author: Basant Agarwal & Valentina Emilia Balas & Lakhmi C Jain & Ramesh Chandra Poonia & Manisha Sharma
Language: English
Street Date: January 14, 2020
TCIN: 1004355226
UPC: 9780128190616
Item Number (DPCI): 247-39-1631
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.76 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 1.39 pounds
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