9783319183046-3319183044-Machine Learning in Radiation Oncology: Theory and Applications

Machine Learning in Radiation Oncology: Theory and Applications

ISBN-13: 9783319183046
ISBN-10: 3319183044
Edition: 2015
Author: El Naqa Issam
Publication date: 2015
Publisher: Springer
Format: Hardcover 350 pages
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Book details

ISBN-13: 9783319183046
ISBN-10: 3319183044
Edition: 2015
Author: El Naqa Issam
Publication date: 2015
Publisher: Springer
Format: Hardcover 350 pages

Summary

Machine Learning in Radiation Oncology: Theory and Applications (ISBN-13: 9783319183046 and ISBN-10: 3319183044), written by authors El Naqa Issam, was published by Springer in 2015. With an overall rating of 3.6 stars, it's a notable title among other Nuclear Physics (Physics) books. You can easily purchase or rent Machine Learning in Radiation Oncology: Theory and Applications (Hardcover) from BooksRun, along with many other new and used Nuclear Physics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.

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