000			05054cam a2200565Mu 4500
001			9781315207582
003			FlBoTFG
005			20220509193114.0
006			m d
007			cr cnu---unuuu
008			190316s2019 xx o 000 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9781351801126
020			_a1351801120
020			_a9781351801119 _q(ePub ebook)
020			_a1351801112
020			_a9781351801102 _q(Mobipocket ebook)
020			_a1351801104
020			_a9781315207582 _q(ebook)
020			_a1315207583
020			_z9781138633438 (hbk.)
024	7		_a10.1201/9781315207582 _2doi
035			_a(OCoLC)1089962215
035			_a(OCoLC-P)1089962215
050		4	_aRC271.R3
072		7	_aSCI _x055000 _2bisacsh
072		7	_aMED _x062000 _2bisacsh
072		7	_aTEC _x059000 _2bisacsh
072		7	_aPHVD _2bicssc
082	0	4	_a616.9940757 _223
100	1		_aDeng, Jun _c(Professor of therapeutic radiology)
245	1	0	_aBig Data in Radiation Oncology _h[electronic resource].
260			_aMilton : _bChapman and Hall/CRC, _c2019.
300			_a1 online resource (311 p.).
336			_atext _2rdacontent
336			_astill image _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
490	1		_aImaging in Medical Diagnosis and Therapy Ser.
500			_aDescription based upon print version of record.
505	0		_aCover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; Series preface; Preface; Acknowledgments; Editors; Contributors; 1: Big data in radiation oncology: Opportunities and challenges; 2: Data standardization and informatics in radiation oncology; 3: Storage and databases for big data; 4: Machine learning for radiation oncology; 5: Cloud computing for big data; 6: Big data statistical methods for radiation oncology; 7: From model-driven to knowledge- and data-based treatment planning; 8: Using big data to improve safety and quality in radiation oncology
505	8		_a9: Tracking organ doses for patient safety in radiation therapy10: Big data and comparative effectiveness research in radiation oncology; 11: Cancer registry and big data exchange; 12: Clinical and cultural challenges of big data in radiation oncology; 13: Radiogenomics; 14: Radiomics and quantitative imaging; 15: Radiotherapy outcomes modeling in the big data era; 16: Multi-parameterized models for early cancer detection and prevention; Index
520			_aBig Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. More features of the book are: Offers the first focused treatment of the role of big data in the clinic and its impact on radiation therapy. Covers applications in cancer registry, radiomics, patient safety, quality of care, treatment planning, decision making, and other key areas. Discusses the fundamental principles and techniques for processing and analysis of big data. Address the use of big data in cancer prevention, detection, prognosis, and management. Provides practical guidance on implementation for clinicians and other stakeholders. Dr. Jun Deng is a professor at the Department of Therapeutic Radiology of Yale University School of Medicine and an ABR board certified medical physicist at Yale-New Haven Hospital. He has received numerous honors and awards such as Fellow of Institute of Physics in 2004, AAPM Medical Physics Travel Grant in 2008, ASTRO IGRT Symposium Travel Grant in 2009, AAPM-IPEM Medical Physics Travel Grant in 2011, and Fellow of AAPM in 2013. Lei Xing, Ph.D., is the Jacob Haimson Professor of Medical Physics and Director of Medical Physics Division of Radiation Oncology Department at Stanford University. His research has been focused on inverse treatment planning, tomographic image reconstruction, CT, optical and PET imaging instrumentations, image guided interventions, nanomedicine, and applications of molecular imaging in radiation oncology. Dr. Xing is on the editorial boards of a number of journals in radiation physics and medical imaging, and is recipient of numerous awards, including the American Cancer Society Research Scholar Award, The Whitaker Foundation Grant Award, and a Max Planck Institute Fellowship.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aCancer _xRadiotherapy.
650		7	_aSCIENCE / Physics _2bisacsh
650		7	_aMEDICAL / Oncology _2bisacsh
700	1		_aXing, Lei.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781315207582
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c129939 _d129939