Home » Nonfiction » Issam El Naqa » Machine Learning in Radiation Oncology

August 03 , 2008

Machine Learning in Radiation Oncology

Theory and Applications


​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.

How to download book

Buy this book

You can buy this book now only for $84.09. This is the lowest price for this book.

Buy book

Download book free

If you want to download this book for free, please register, approve your account and get one book for free.


After that you may download book «Machine Learning in Radiation Oncology»:

Download MS Word:


Download Amazon Kindle: