UID:
almahu_9949434975002882
Format:
1 online resource (various pagings) :
,
illustrations (some color).
ISBN:
9780750333399
,
9780750333382
Series Statement:
IPEM-IOP series in physics and engineering in medicine and biology
Content:
The book provides applications of artificial intelligence (AI) in radiation therapy according to the clinical radiotherapy workflow.
Note:
"Version: 20221201"--Title page verso.
,
1. Introduction / Iori Sumida -- 2. Artificial intelligence and machine learning / Omid Nohadani -- 3. Overview of AI applications in radiation therapy / Yang Sheng and Jiahan Zhang -- 4. Introduction to CT/MR simulation in radiotherapy / Iori Sumida and Noriyuki Kadoya -- 5. Organ delineation / Xiao Ying and Men Kuo -- 6. Automated treatment planning / Charles Huang and Lei Xing -- 7. Artificial intelligence in adaptive radiation therapy / Yi Wang, Bin Cai, Leigh Conroy and X. Sharon Qi -- 8. AI-augmented image guidance for radiation therapy delivery / Zhao Wei -- 9. AI for quality management in radiation therapy / Quan Chen, Yi Rong, Zhichao Wang and Tianye Niu -- 10. Data-driven approaches in radiotherapy outcome modeling / Ibrahim Chamseddine, Yejin Kim and Clemens Grassberger -- 11. Challenges in artificial intelligence development of radiotherapy / Huanmei Wu and Jay S. Patel.
,
Also available in print.
,
Mode of access: World Wide Web.
,
System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
Additional Edition:
Print version: ISBN 9780750333375
Additional Edition:
ISBN 9780750333405
Language:
English
DOI:
10.1088/978-0-7503-3339-9
URL:
https://iopscience.iop.org/book/edit/978-0-7503-3339-9
