Machine Learning in Radiation Oncology

저 자 : Issam El Naqa Ruijiang Li Martin J. Murphy

 
Isbn# is : 3319183044

출판사 :

Springer

출판일 :

2015-06-20

ISBN10 :

3319183044

ISBN13 :

9783319183046

Edition :

2015 edition

Page :

336 Pages [ Hardcover ]

정가 :

￦178000

한국정가 :

178000 원

판매가 :

160,200원

적립금 :

3,204

주문수량 :

권  

평점 :

 

DescriptionContentsReview
     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.
     Contents
     독자서평
※서평을 쓰시면 관리자 확인 후 일정 포인트(1,000포인트이상)의 적립금을 적립해 드립니다.


 

 

 

 

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