Machine and Deep Learning in Oncology, Medical Physics and Radiology,2nd ed

저 자 : Issam El Naqa and Martin J. Murphy

 
Isbn# is : 3030830462

출판사 :

Springer

출판일 :

2022-02-03

ISBN10 :

3030830462

ISBN13 :

9783030830465

Edition :

2

Page :

529 Pages [ Hardcover ]

정가 :

￦280000

한국정가 :

280000 원

판매가 :

260,000원

적립금 :

0

주문수량 :

권  

평점 :

 

DescriptionContentsReview
     Description
This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine learning and deep learning and their role in oncology, medical physics, and radiology. Readers will find thorough coverage of basic theory, methods, and demonstrative applications in these fields. An introductory section explains machine and deep learning, reviews learning methods, discusses performance evaluation, and examines software tools and data protection. Detailed individual sections are then devoted to the use of machine and deep learning for medical image analysis, treatment planning and delivery, and outcomes modeling and decision support. Resources for varying applications are provided in each chapter, and software code is embedded as appropriate for illustrative purposes. The book will be invaluable for students and residents in medical physics, radiology, and 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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