图书简介

Series Preface Preface Acknowledgments Editors Contributors 1. Big data in radiation oncology: Opportunities and challenges Jean-Emmanuel Bibault 2. Data standardization and informatics in radiation oncology Charles S. Mayo 3. Storage and databases for big data Tomas Skripcak, Uwe Just, Ida Schoenfeld, Esther G.C. Troost, and Mechthild Krause 4. Machine learning for radiation oncology Yi Luo and Issam El Naqa 5. Cloud computing for big data Sepideh Almasi and Guillem Pratx 6. Big data statistical methods for radiation oncology Yu Jiang, Vojtech Huser, and Shuangge Ma 7. From model-driven to knowledge- and data-based treatment planning Morteza Mardani, Yong Yang, Yinyi Ye, Stephen Boyd, and Lei Xing 8. Using big data to improve safety and quality in radiation oncology Eric Ford, Alan Kalet, and Mark Phillips 9. Tracking organ doses for patient safety in radiation therapy Wazir Muhammad, Ying Liang, Gregory R. Hart, Bradley J. Nartowt, David A. Roffman, and Jun Deng 10. Big data and comparative effectiveness research in radiation oncology Sunil W. Dutta, Daniel M. Trifiletti, and Timothy N. Showalter 11. Cancer registry and big data exchange Zhenwei Shi, Leonard Wee, and Andre Dekker 12. Clinical and cultural challenges of big data in radiation oncology Brandon Dyer, Shyam Rao, Yi Rong, Chris Sherman, Mildred Cho, Cort Buchholz, and Stanley Benedict 13. Radiogenomics Barry S. Rosenstein, Gaurav Pandey, Corey W. Speers, Jung Hun Oh, Catharine M.L. West, and Charles S. Mayo 14. Radiomics and quantitative imaging Dennis Mackin and Laurence E. Court 15. Radiotherapy outcomes modeling in the big data era Joseph O. Deasy, Aditya P. Apte, Maria Thor, Jeho Jeong, Aditi Iyer, Jung Hun Oh, and Andrew Jackson 16. Multi-parameterized models for early cancer detection and prevention Gregory R. Hart, David A. Roffman, Ying Liang, Bradley J. Nartowt, Wazir Muhammad, and Jun Deng Index

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