Artificial intelligence in cancer imaging: Clinical challenges and applications

Author:

Bi Wenya Linda1,Hosny Ahmed2,Schabath Matthew B.3,Giger Maryellen L.4,Birkbak Nicolai J.56,Mehrtash Alireza78,Allison Tavis910,Arnaout Omar1,Abbosh Christopher1112,Dunn Ian F.13,Mak Raymond H.14,Tamimi Rulla M.15,Tempany Clare M.16,Swanton Charles1718,Hoffmann Udo19,Schwartz Lawrence H.2021,Gillies Robert J.22,Huang Raymond Y.23,Aerts Hugo J. W. L.2425ORCID

Affiliation:

1. Assistant Professor of Neurosurgery, Department of Neurosurgery, Brigham and Women’s Hospital, Dana‐Farber Cancer Institute Harvard Medical School Boston MA

2. Research Scientist, Department of Radiation Oncology, Brigham and Women’s Hospital, Dana‐Farber Cancer Institute Harvard Medical School Boston MA

3. Associate Member, Department of Cancer Epidemiology H. Lee Moffitt Cancer Center and Research Institute Tampa FL

4. Professor of Radiology, Department of Radiology University of Chicago Chicago IL

5. Research Associate, The Francis Crick Institute London United Kingdom

6. Research Associate, University College London Cancer Institute London United Kingdom

7. Research Assistant, Department of Radiology, Brigham and Women’s Hospital, Dana‐Farber Cancer Institute Harvard Medical School Boston MA

8. Research Assistant, Department of Electrical and Computer Engineering University of British Columbia Vancouver BC Canada

9. Research Assistant, Department of Radiology Columbia University College of Physicians and Surgeons New York NY

10. Research Assistant, Department of Radiology New York Presbyterian Hospital New York NY

11. Research Fellow, The Francis Crick Institute London United Kingdom

12. Research Fellow, University College London Cancer Institute London United Kingdom

13. Associate Professor of Neurosurgery, Department of Neurosurgery, Brigham and Women’s Hospital, Dana‐Farber Cancer Institute Harvard Medical School Boston MA

14. Associate Professor, Department of Radiation Oncology, Brigham and Women’s Hospital, Dana‐Farber Cancer Institute Harvard Medical School Boston MA

15. Associate Professor, Department of Medicine Brigham and Women’s Hospital, Dana‐Farber Cancer Institute, Harvard Medical School Boston MA

16. Professor of Radiology, Department of Radiology, Brigham and Women’s Hospital, Dana‐Farber Cancer Institute Harvard Medical School Boston MA

17. Professor, The Francis Crick Institute London United Kingdom

18. Professor, University College London Cancer Institute London United Kingdom

19. Professor of Radiology, Department of Radiology Massachusetts General Hospital and Harvard Medical School Boston MA

20. Professor of Radiology, Department of Radiology Columbia University College of Physicians and Surgeons New York NY

21. Chair, Department of Radiology New York Presbyterian Hospital New York NY

22. Professor of Radiology, Department of Cancer Physiology H. Lee Moffitt Cancer Center and Research Institute Tampa FL

23. Assistant Professor, Department of Radiology, Brigham and Women’s Hospital, Dana‐Farber Cancer Institute Harvard Medical School Boston MA

24. Associate Professor, Departments of Radiation Oncology and Radiology, Brigham and Women’s Hospital, Dana‐Farber Cancer Institute Harvard Medical School Boston MA

25. Professor in AI in Medicine, Radiology and Nuclear Medicine, GROW Maastricht University Medical Centre (MUMC+) Maastricht The Netherlands

Funder

National Institutes of Health

Publisher

Wiley

Subject

Oncology,Hematology

Reference218 articles.

1. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

2. Artificial intelligence in radiology

3. Deep learning

4. RolnickD VeitA BelongieS ShavitN.Deep learning is robust to massive label noise. arXiv:1705.10694 [cs.LG]; 2017.arxiv.org/abs/1705.10694. Accessed May 28 2018

5. Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities

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