Big 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.
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