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.