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· 분류 : 외국도서 > 의학 > 종양학
· ISBN : 9780815375852
· 쪽수 : 484쪽
· 출판일 : 2019-06-28
목차
Part I: Introduction 1. Principles and rationale of radiomics and radiogenomics Sandy Napel Part II: Technical Basis 2. Imaging informatics: an overview Assaf Hoogi, Daniel Rubin 3. Quantitative imaging using CT Lin Lu, Lawrence H. Schwartz, Binsheng Zhao 4. Quantitative PET/CT for radiomics Stephen R. Bowen, Paul E. Kinahan, George A. Sandison, Matthew J. Nyflot 5. Common techniques of quantitative MRI David Hormuth II, Jack Virostko, Ashley Stokes, Adrienne Dula, Anna G. Sorace, Jennifer G. Whisenant, Jared Weis, C. Chad Quarles, Michael I. Miga, Thomas E. Yankeelov 6. Tumor segmentation Spyridon Bakas, Rhea Chitalia, Despina Kontos, Yong Fan, Christos Davatzikos 7. Habitat imaging of tumor evolution by magnetic resonance imaging (MRI) Bruna Victorasso Jardim-Perassi, Gary Martinez, Robert Gillies 8. Feature extraction and qualification Lise Wei, Issam El Naqa 9. Predictive modeling, machine learning, and statistical issues Panagiotis Korfiatis, Timothy L. Kline, Zeynettin Akkus, Kenneth Philbrick, Bradley J. Erikson 10. Radiogenomics: rationale and methods Olivier Gevaert 11. Resources and datasets for radiomics Ken Chang, Andrew Beers, James Brown, Jayashree Kalpathy-Cramer Part III: Clinical Applications 12. Roles of radiomics and radiogenomics in clinical practice Tianyue Niu, Xiaoli Sun, Pengfei Yang, Guohong Cao, Khin K. Tha, Hiroki Shirato, Kathleen Horst, Lei Xing 13. Brain cancer William D. Dunn Jr, Rivka Colen 14. Breast cancer Hui Li, Maryellen L. Giger 15. Lung cancer Dong Di, Jie Tian 16. The essence of R in head and neck cancer Hesham Elhalawani, Arvind Rao, Clifton D. Fuller 17. Gastrointestinal cancers Zaiyi Liu 18. Radiomics in genitourinary cancers: prostate cancer Satish Viswanath, Anant Madabhushi 19. Radiomics analysis for gynecologic cancers Harini Veeraraghavan 20. Applications of imaging genomics beyond oncology Xiaohui Yao, Jingwen Yan, Li Shen Part IV: Future Outlook 21. Quantitative imaging to guide mechanism based modeling of cancer David A. Hormouth II, Matthew T. McKenna, Thomas E. Yankeelov 22. Looking Ahead: Opportunities and Challenges in Radiomics and Radiogenomics Ruijiang Li, Yan Wu, Michael Gensheimer, Masoud Badiei Khuzani, Lei Xing














