Artificial intelligence in radiation therapy /
The book provides applications of artificial intelligence (AI) in radiation therapy according to the clinical radiotherapy workflow.
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :
IOP Publishing,
[2022]
|
Colección: | IOP (Series). Release 22.
IPEM-IOP series in physics and engineering in medicine and biology. IOP ebooks. 2022 collection. |
Temas: | |
Acceso en línea: | Texto completo |
MARC
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008 | 230109s2022 enka fob 000 0 eng d | ||
020 | |a 9780750333399 |q ebook | ||
020 | |a 9780750333382 |q mobi | ||
020 | |z 9780750333375 |q print | ||
020 | |z 9780750333405 |q myPrint | ||
024 | 7 | |a 10.1088/978-0-7503-3339-9 |2 doi | |
035 | |a (CaBNVSL)thg00083530 | ||
035 | |a (OCoLC)1358414085 | ||
040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
050 | 4 | |a RM862.5 |b .A785 2022eb | |
060 | 4 | |a WN 250.5.R2 |b AR791 2022eb | |
072 | 7 | |a PHVD |2 bicssc | |
072 | 7 | |a MED080000 |2 bisacsh | |
082 | 0 | 4 | |a 615.8/42/0285 |2 23 |
245 | 0 | 0 | |a Artificial intelligence in radiation therapy / |c edited by Iori Sumida. |
264 | 1 | |a Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : |b IOP Publishing, |c [2022] | |
300 | |a 1 online resource (various pagings) : |b illustrations (some color). | ||
336 | |a text |2 rdacontent | ||
337 | |a electronic |2 isbdmedia | ||
338 | |a online resource |2 rdacarrier | ||
490 | 1 | |a [IOP release $release] | |
490 | 1 | |a IPEM-IOP series in physics and engineering in medicine and biology | |
490 | 1 | |a IOP ebooks. [2022 collection] | |
500 | |a "Version: 20221201"--Title page verso. | ||
504 | |a Includes bibliographical references. | ||
505 | 0 | |a 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. | |
520 | 3 | |a The book provides applications of artificial intelligence (AI) in radiation therapy according to the clinical radiotherapy workflow. | |
521 | |a More experienced practitioners and researchers and members of medical physics communities such as AAPM, ASTRO, and ESTRO. | ||
530 | |a Also available in print. | ||
538 | |a Mode of access: World Wide Web. | ||
538 | |a System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. | ||
545 | |a 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. | ||
588 | 0 | |a Title from PDF title page (viewed on January 9, 2023). | |
650 | 0 | |a Radiotherapy |x Data processing. | |
650 | 0 | |a Artificial intelligence. | |
650 | 1 | 2 | |a Radiotherapy, Computer-Assisted. |
650 | 1 | 2 | |a Artificial Intelligence. |
650 | 7 | |a Medical physics. |2 bicssc | |
650 | 7 | |a MEDICAL / Radiology, Radiotherapy & Nuclear Medicine. |2 bisacsh | |
700 | 1 | |a Sumida, Iori, |e editor. | |
710 | 2 | |a Institute of Physics (Great Britain), |e publisher. | |
776 | 0 | 8 | |i Print version: |z 9780750333375 |z 9780750333405 |
830 | 0 | |a IOP (Series). |p Release 22. | |
830 | 0 | |a IPEM-IOP series in physics and engineering in medicine and biology. | |
830 | 0 | |a IOP ebooks. |p 2022 collection. | |
856 | 4 | 0 | |u https://iopscience.uam.elogim.com/book/edit/978-0-7503-3339-9 |z Texto completo |