Deep Learning for Medical Image Analysis

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Application Software, General Computing
Cover of the book Deep Learning for Medical Image Analysis by , Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9780128104095
Publisher: Elsevier Science Publication: January 18, 2017
Imprint: Academic Press Language: English
Author:
ISBN: 9780128104095
Publisher: Elsevier Science
Publication: January 18, 2017
Imprint: Academic Press
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Elsevier Science

Cover of the book Scholarly Communication at the Crossroads in China by
Cover of the book Explosion Hazards in the Process Industries by
Cover of the book Advances in Organometallic Chemistry by
Cover of the book Personal Safety and Security Playbook by
Cover of the book Advances in System Reliability Engineering by
Cover of the book Materials Under Extreme Conditions by
Cover of the book Meat Analogs by
Cover of the book Acrylamide and Other Hazardous Compounds in Heat-Treated Foods by
Cover of the book The Myrdalsjokull Ice Cap, Iceland by
Cover of the book Handbook of Fire and Explosion Protection Engineering Principles by
Cover of the book Programmable Logic Controllers by
Cover of the book Human Prion Diseases by
Cover of the book International Review of Cytology by
Cover of the book Innovation and Future Trends in Food Manufacturing and Supply Chain Technologies by
Cover of the book How to Cheat at Managing Information Security by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy