Big Data in Radiation Oncology (Imaging in Medical Diagnosis and Therapy) 1st Edition (2019) (PDF) by Jun Deng

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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.

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.

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Free Download Big Data in Radiation Oncology (Imaging in Medical Diagnosis and Therapy) 1st Edition in PDF format
Big Data in Radiation Oncology (Imaging in Medical Diagnosis and Therapy) 1st Edition PDF Free Download
Download Big Data in Radiation Oncology (Imaging in Medical Diagnosis and Therapy) 1st Edition 2019 PDF Free
Big Data in Radiation Oncology (Imaging in Medical Diagnosis and Therapy) 1st Edition 2019 PDF Free Download
Download Big Data in Radiation Oncology (Imaging in Medical Diagnosis and Therapy) 1st Edition PDF
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