000 | 03871nam a2200661 i 4500 | ||
---|---|---|---|
001 | 9780750333399 | ||
003 | IOP | ||
005 | 20230516170315.0 | ||
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 |