A multisite study of a breast density deep learning model for full-field digital mammography and synthetic mammography

Authors

Thomas P Matthews, Whiterabbit AI, Inc
Sadanand Singh, Whiterabbit AI, Inc
Brent Mombourquette, Whiterabbit AI, Inc
Jason Su, Whiterabbit AI, Inc
Meet P Shah, Whiterabbit AI, Inc
Stefano Pedemonte, Whiterabbit AI, Inc
Aaron Long, Whiterabbit AI, Inc
David Maffit, Washington University School of Medicine in St. Louis
Jenny Gurney, Washington University School of Medicine in St. Louis
Rodrigo Morales Hoil, Whiterabbit AI, Inc
Nikita Ghare, Whiterabbit AI, Inc
Douglas Smith, Whiterabbit AI, Inc
Stephen M Moore, Washington University School of Medicine in St. Louis
Susan C Marks, Peninsula Diagnostic Imaging
Richard L Wahl, Washington University School of Medicine in St. Louis

Journal

Radiology: Artificial Intelligence

Publication Date

11-4-2020

Volume

3

Issue

1

First Page

e200015

Document Type

Open Access Publication

DOI

10.1148/ryai.2020200015

Rights and Permissions

Matthews TP, Singh S, Mombourquette B, Su J, Shah MP, Pedemonte S, Long A, Maffit D, Gurney J, Hoil RM, Ghare N, Smith D, Moore SM, Marks SC, Wahl RL. A Multisite Study of a Breast Density Deep Learning Model for Full-Field Digital Mammography and Synthetic Mammography. Radiol Artif Intell. 2020 Nov 4;3(1):e200015. doi: 10.1148/ryai.2020200015 Published under a CC BY 4.0 license.

Recommended Citation

Matthews, Thomas P; Singh, Sadanand; Mombourquette, Brent; Su, Jason; Shah, Meet P; Pedemonte, Stefano; Long, Aaron; Maffit, David; Gurney, Jenny; Hoil, Rodrigo Morales; Ghare, Nikita; Smith, Douglas; Moore, Stephen M; Marks, Susan C; and Wahl, Richard L, "A multisite study of a breast density deep learning model for full-field digital mammography and synthetic mammography." Radiology: Artificial Intelligence. 3, 1. e200015 (2020).
https://digitalcommons.wustl.edu/oa_4/503