Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk

Authors

Suzanne C. Wetstein, Eindhoven University of Technology
Ying Liu, Washington University School of Medicine in St. Louis
et al.

Journal

PLoS One

Publication Date

1-1-2020

Volume

15

Issue

4

First Page

e0231653

Document Type

Open Access Publication

DOI

10.1371/journal.pone.0231653

Rights and Permissions

Wetstein SC, Onken AM, Luffman C, Baker GM, Pyle ME, et al. (2020) Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk. PLOS ONE 15(4): e0231653. https://doi.org/10.1371/journal.pone.0231653

Recommended Citation

Wetstein, Suzanne C.; Liu, Ying; and et al., "Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk." PLoS One. 15, 4. e0231653 (2020).
https://digitalcommons.wustl.edu/open_access_pubs/9333