You can buy this product with a few simple clicks and have the file in your user profile forever.

AUTHORS: Kevin Zhou Hayit Greenspan Dinggang Shen
PAGES: 458
YEAR: 2017
PUBLICATION: Academic Press
LANGUAGE: English
ISBN: 978-0128104088

$6,20

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 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
Shipping & Delivery
Shopping cart

Deep Learning for Medical Image Analysis (PDF)

$6,20
Supportscreen tag

Refund Reason

Home
My account
0 items Cart
0 Wishlist
Menu