Artificial intelligence in radiation therapy /
edited by Iori Sumida.
- 1 online resource (various pagings) : illustrations (some color).
- [IOP release $release] IPEM-IOP series in physics and engineering in medicine and biology IOP ebooks. [2022 collection] .
- IOP (Series). Release 22. IPEM-IOP series in physics and engineering in medicine and biology. IOP ebooks. 2022 collection. .
"Version: 20221201"--Title page verso.
Includes bibliographical references.
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.
The book provides applications of artificial intelligence (AI) in radiation therapy according to the clinical radiotherapy workflow.
More experienced practitioners and researchers and members of medical physics communities such as AAPM, ASTRO, and ESTRO.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
Dr. Iori Sumida is currently Director, Physics and Clinical support, Accuray. Japan, K.K., as well as invited faculty, Osaka University Graduate School of Medicine, Department of Radiation Oncology.
9780750333399 9780750333382
10.1088/978-0-7503-3339-9 doi
Radiotherapy--Data processing.
Artificial intelligence.
Radiotherapy, Computer-Assisted.
Artificial Intelligence.
Medical physics.
MEDICAL / Radiology, Radiotherapy & Nuclear Medicine.
RM862.5 / .A785 2022eb
615.8/42/0285
WN 250.5.R2 / AR791 2022eb
"Version: 20221201"--Title page verso.
Includes bibliographical references.
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.
The book provides applications of artificial intelligence (AI) in radiation therapy according to the clinical radiotherapy workflow.
More experienced practitioners and researchers and members of medical physics communities such as AAPM, ASTRO, and ESTRO.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
Dr. Iori Sumida is currently Director, Physics and Clinical support, Accuray. Japan, K.K., as well as invited faculty, Osaka University Graduate School of Medicine, Department of Radiation Oncology.
9780750333399 9780750333382
10.1088/978-0-7503-3339-9 doi
Radiotherapy--Data processing.
Artificial intelligence.
Radiotherapy, Computer-Assisted.
Artificial Intelligence.
Medical physics.
MEDICAL / Radiology, Radiotherapy & Nuclear Medicine.
RM862.5 / .A785 2022eb
615.8/42/0285
WN 250.5.R2 / AR791 2022eb