Healthcare Innovations and Translational Informatics lab (HITI) @ Emory


Machine learning for Health, Imaging Informatics

Machine Learning in Radiology: Applications Beyond Image Interpretation


Journal article


Paras Lakhani, Adam B. Prater, R. Kent Hutson, Kathy P. Andriole, Keith J. Dreyer, Jose Morey, Luciano M. Prevedello, Toshi J. Clark, J. Raymond Geis, Jason N. Itri, C. Matthew Hawkins
Journal of The American College of Radiology, vol. 15(2), 2017 Sep 31, pp. 350-359

Cite

APA
Lakhani, P., Prater, A. B., Hutson, R. K., Andriole, K. P., Dreyer, K. J., Morey, J., … Hawkins, C. M. (2017). Machine Learning in Radiology: Applications Beyond Image Interpretation. Journal of The American College of Radiology, 15(2), 350–359.

Chicago/Turabian
Lakhani, Paras, Adam B. Prater, R. Kent Hutson, Kathy P. Andriole, Keith J. Dreyer, Jose Morey, Luciano M. Prevedello, et al. “Machine Learning in Radiology: Applications Beyond Image Interpretation.” Journal of The American College of Radiology 15, no. 2 (September 31, 2017): 350–359.

MLA
Lakhani, Paras, et al. “Machine Learning in Radiology: Applications Beyond Image Interpretation.” Journal of The American College of Radiology, vol. 15, no. 2, Sept. 2017, pp. 350–59.