Machine Learning in Radiation Oncology

Released on by Issam El Naqa
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  • Machine Learning in Radiation Oncology Book Detail

  • Author : Issam El Naqa
  • Release Date : 2015-06-19
  • Publisher : Springer
  • Genre : Medical
  • Pages : 336
  • ISBN 13 : 3319183052
  • File Size : 11,11 MB
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Machine Learning in Radiation Oncology by Issam El Naqa PDF Summary

Book Description: ​This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.

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Machine Learning in Radiation Oncology

Machine Learning in Radiation Oncology

File Size : 44,44 MB
Total View : 7293 Views
DOWNLOAD

​This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a varie

Machine Learning in Radiation Oncology

Machine Learning in Radiation Oncology

File Size : 61,61 MB
Total View : 5287 Views
DOWNLOAD

​This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a varie