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001 9780750333399
003 IOP
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006 m eo d
007 cr cn |||m|||a
008 230109s2022 enka fob 000 0 eng d
020 _a9780750333399
_qebook
020 _a9780750333382
_qmobi
020 _z9780750333375
_qprint
020 _z9780750333405
_qmyPrint
024 7 _a10.1088/978-0-7503-3339-9
_2doi
035 _a(CaBNVSL)thg00083530
035 _a(OCoLC)1358414085
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aRM862.5
_b.A785 2022eb
060 4 _aWN 250.5.R2
_bAR791 2022eb
072 7 _aPHVD
_2bicssc
072 7 _aMED080000
_2bisacsh
082 0 4 _a615.8/42/0285
_223
245 0 0 _aArtificial intelligence in radiation therapy /
_cedited by Iori Sumida.
264 1 _aBristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :
_bIOP Publishing,
_c[2022]
300 _a1 online resource (various pagings) :
_billustrations (some color).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _a[IOP release $release]
490 1 _aIPEM-IOP series in physics and engineering in medicine and biology
490 1 _aIOP ebooks. [2022 collection]
500 _a"Version: 20221201"--Title page verso.
504 _aIncludes bibliographical references.
505 0 _a1. 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 _aThe book provides applications of artificial intelligence (AI) in radiation therapy according to the clinical radiotherapy workflow.
521 _aMore experienced practitioners and researchers and members of medical physics communities such as AAPM, ASTRO, and ESTRO.
530 _aAlso available in print.
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
545 _aDr. 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 _aTitle from PDF title page (viewed on January 9, 2023).
650 0 _aRadiotherapy
_xData processing.
_970860
650 0 _aArtificial intelligence.
_93407
650 1 2 _aRadiotherapy, Computer-Assisted.
_970861
650 1 2 _aArtificial Intelligence.
_93407
650 7 _aMedical physics.
_2bicssc
_94451
650 7 _aMEDICAL / Radiology, Radiotherapy & Nuclear Medicine.
_2bisacsh
_970210
700 1 _aSumida, Iori,
_eeditor.
_970862
710 2 _aInstitute of Physics (Great Britain),
_epublisher.
_911622
776 0 8 _iPrint version:
_z9780750333375
_z9780750333405
830 0 _aIOP (Series).
_pRelease 22.
_970863
830 0 _aIPEM-IOP series in physics and engineering in medicine and biology.
_970161
830 0 _aIOP ebooks.
_p2022 collection.
_970864
856 4 0 _uhttps://iopscience.iop.org/book/edit/978-0-7503-3339-9
942 _cEBK
999 _c82918
_d82918