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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...

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Corporate Author: SpringerLink (Online service)
Other Authors: El Naqa, Issam. (Editor, http://id.loc.gov/vocabulary/relators/edt), Li, Ruijiang. (Editor, http://id.loc.gov/vocabulary/relators/edt), Murphy, Martin J. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Subjects:
Radiotherapy.
Medical physics.
Radiation.
Medical and Radiation Physics.
Online Access:https://doi.org/10.1007/978-3-319-18305-3

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