Machine Learning in Radiation Oncology best book to read by Springer in date 2015-06-19 is very recommended for you if you search book with category Medical / Radiology, Radiotherapy & Nuclear Medicine, Science / Radiation, Medical / Clinical Medicine, Science / Life Sciences / Biophysics, . best book to read composed by Issam El Naqa, Ruijiang Li, Martin J. Murphy, with page thickness 336 Pages. you can look sort description bellow
Download Machine Learning in Radiation Oncology Theory and Applications full pages
ISBN: 9783319183053
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.
Machine Learning in Radiation Oncology
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