Free Book Online
Book Machine Learning in Radiation Oncology: Theory and Applications

Pdf

Machine Learning in Radiation Oncology: Theory and Applications

2.2 (3901)

Log in to rate this item

    Available in PDF - DJVU Format | Machine Learning in Radiation Oncology: Theory and Applications.pdf | Language: ENGLISH

​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.

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.

3.4 (8003)
  • Pdf

*An electronic version of a printed book that can be read on a computer or handheld device designed specifically for this purpose.

Formats for this Ebook

PDF
Required Software Any PDF Reader, Apple Preview
Supported Devices Windows PC/PocketPC, Mac OS, Linux OS, Apple iPhone/iPod Touch.
# of Devices Unlimited
Flowing Text / Pages Pages
Printable? Yes

Book details

  • PDF | 336 pages
  • Springer; Softcover reprint of the original 1st ed. 2015 edition (November 18, 2016)
  • English
  • 8
  • New, Used & Rental Textbooks

Read online or download a free book: Machine Learning in Radiation Oncology: Theory and Applications

 

Review Text

  • By Colin on March 28, 2017

    I received this pan last week. My all family love it. It is very light and easy to handle. My 5 years old son love to use it to fry eggs too. The heat is evenly applied on the bottom. The color and quality is awesome. This non-sticky pan is very good to cook meat too. So far, it is the best pan I had and the price is very reasonable.

  • By Joseph J Grenier on July 14, 2015

    Machine Learning and Radiation OncologySpringer Cham New York Berlin HeidelbergRe: Joseph Grenier MD PhD MPHThis is a very good book for computer science related to RO, and bioinformatics related to radiation planning. It is a major problem related to algorithmic approaches to image guided therapy. More diagrams and explanatory information are not covered. This book is primarily meant for computer scientists working in the field of Radiation Oncology Physics and treatment. A lot of information is assumed and its organization is hard to follow.


  • Name:
    Email*:
    The message text*: