Big Data in Radiation Oncology (PDF)
This book gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. Basic principles are covered early on, and clinical applications become the focus thereafter. A final section introduces emerging models for cancer prevention and detection.
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This book gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. Basic principles are covered early on, and clinical applications become the focus thereafter. A final section introduces emerging models for cancer prevention and detection.
Lei Xing, PhD, is currently the Jacob Haimson Professor of Medical Physics and Director of the Medical Physics Division of the Radiation Oncology Department of Stanford University. Dr. Xing obtained his PhD in Physics from the Johns Hopkins University in 1992 and received his Medical Physics training at the University of Chicago. He has been a member of the Radiation Oncology faculty at Stanford since 1997. He is also an affiliated faculty member in Stanford's Department of Electrical Engineering, the Biomedical Informatics Program, the Molecular Imaging Program at Stanford, and the Bio-X program. His research has 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 an author on more than 250 peer-reviewed publications, a co-inventor on many issued and pending patents, and a co-investigator or principal investigator on numerous NIH, DOD, NSF, and ACS grants and projects from other funding agencies and corporations. He and his lab members have received numerous awards from ACS, AAPM, ASTRO, WMIC, and RSNA in the past decade. Dr. Xing serves on the editorial boards of a number of journals in radiation physics and medical imaging and is a recipient of numerous awards, including the American Cancer Society Research Scholar Award, The Whitaker Foundation Grant Award, and a Max Planck Institute Fellowship.
- 2019, 1. Auflage, 310 Seiten, Englisch
- Herausgegeben: Jun Deng, Lei Xing
- Verlag: Taylor & Francis
- ISBN-10: 1351801120
- ISBN-13: 9781351801126
- Erscheinungsdatum: 07.03.2019
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- Dateiformat: PDF
- Grösse: 8.20 MB
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