Big Data in Radiation Oncology
Big Data in Radiation Oncology
Deng, Jun; Xing, Lei
Taylor & Francis Ltd
03/2021
312
Mole
Inglês
9780367780159
15 a 20 dias
576
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
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