{
"item_title" : "Deep Learning for Medical Image Analysis",
"item_author" : [" S. Kevin Zhou", "Hayit Greenspan", "Dinggang Shen "],
"item_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.",
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Deep Learning for Medical Image Analysis
Overview
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.This item is Non-Returnable
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Details
- ISBN-13: 9780128104088
- ISBN-10: 0128104082
- Publisher: Academic Press
- Publish Date: January 2017
- Dimensions: 9.25 x 7.5 x 0.93 inches
- Shipping Weight: 1.72 pounds
- Page Count: 458
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