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Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimens

Crossref DOI link: https://doi.org/10.1038/s41379-021-00807-9

Published Print: 2021-08

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

D'Alfonso, Timothy M. https://orcid.org/0000-0003-0464-0868
Ho, David Joon https://orcid.org/0000-0002-9124-884X
Hanna, Matthew G.

Grabenstetter, Anne https://orcid.org/0000-0001-8419-6167
Yarlagadda, Dig Vijay Kumar

Geneslaw, Luke https://orcid.org/0000-0001-6862-9102
Ntiamoah, Peter

Fuchs, Thomas J.

Tan, Lee K.
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Text and Data Mining valid from 2021-08-01

Text and Data Mining valid from 2021-08-01

Version of Record valid from 2023-01-11
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This article is maintained by: Elsevier

Article Title: Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimens

Journal Title: Modern Pathology

CrossRef DOI link to publisher maintained version: https://doi.org/10.1038/s41379-021-00807-9

Content Type: article

Copyright: © 2021 United States & Canadian Academy of Pathology.

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