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
Publication date: 2015
Publisher: Springer
Format: Hardcover 350 pages
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Book details

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

Summary

Acknowledged author wrote Machine Learning in Radiation Oncology: Theory and Applications comprising 350 pages back in 2015. Textbook and eTextbook are published under ISBN 3319183044 and 9783319183046. Since then Machine Learning in Radiation Oncology: Theory and Applications textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

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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