Machine Learning in Radiation Oncology Theory and Applications /

• Corporate Author: SpringerLink (Online service)
• Other Authors: El Naqa, Issam (Editor), Li, Ruijiang (Editor), Murphy, Martin J. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Subjects: Medicine.; Radiotherapy.; Medical physics.; Radiation.; Medicine & Public Health.; Medical and Radiation Physics.

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...