Farahmand, Saman
Fernandez, Aileen I.
Ahmed, Fahad Shabbir
Rimm, David L. http://orcid.org/0000-0001-5820-4397
Chuang, Jeffrey H. http://orcid.org/0000-0002-3298-2358
Reisenbichler, Emily http://orcid.org/0000-0002-1570-6538
Zarringhalam, Kourosh
Funding for this research was provided by:
Breast Cancer Research Foundation (BCRF20-138)
American Cancer Society (#IRG 17-172-57)
U.S. Department of Health & Human Services | NIH | National Cancer Institute (R01CA230031, P30CA034196)
U.S. Department of Health & Human Services | NIH | National Cancer Institute
This article is maintained by: Elsevier
Article Title: Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer
Journal Title: Modern Pathology
CrossRef DOI link to publisher maintained version: https://doi.org/10.1038/s41379-021-00911-w
Content Type: article
Copyright: © 2021 United States & Canadian Academy of Pathology.