Machine Learning in Radiation Oncology is popular PDF and ePub book, written by Issam El Naqa in 2015-06-19, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Machine Learning in Radiation Oncology can be Read Online from any device for your convenience.
Machine Learning in Radiation Oncology Book PDF Summary
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.
Detail Book of Machine Learning in Radiation Oncology PDF
- Author : Issam El Naqa
- Release : 19 June 2015
- Publisher : Springer
- ISBN : 9783319183053
- Genre : Medical
- Total Page : 336 pages
- Language : English
- PDF File Size : 12,9 Mb
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