Healthcare Innovations and Translational Informatics lab (HITI) @ Emory


Machine learning for Health, Imaging Informatics

A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports.


Journal article


Scott J Lee, Brent D Weinberg, Ashwani Gore, Imon Banerjee
Journal of Digital Imaging, Springer, 2020

Cite

APA
Lee, S. J., Weinberg, B. D., Gore, A., & Banerjee, I. (2020). A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports. Journal of Digital Imaging.

Chicago/Turabian
Lee, Scott J, Brent D Weinberg, Ashwani Gore, and Imon Banerjee. “A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports.” Journal of Digital Imaging (2020).

MLA
Lee, Scott J., et al. “A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports.” Journal of Digital Imaging, Springer, 2020.