Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer

Saman Farahmand; Aileen I. Fernandez; Fahad Shabbir Ahmed; David L. Rimm; Jeffrey H. Chuang; Emily Reisenbichler; Kourosh Zarringhalam

doi:10.1038/s41379-021-00911-w

Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer

Saman Farahmand
, Aileen I. Fernandez
, Fahad Shabbir Ahmed
, David L. Rimm
, Jeffrey H. Chuang
, Emily Reisenbichler
, Kourosh Zarringhalam

Mathematics

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	44-51
Number of pages	8
Journal	Modern Pathology
Volume	35
Issue number	1
DOIs	https://doi.org/10.1038/s41379-021-00911-w
State	Published - Jan 2022

ASJC Scopus Subject Areas

Pathology and Forensic Medicine

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title = "Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer",

author = "Saman Farahmand and Fernandez, \{Aileen I.\} and Ahmed, \{Fahad Shabbir\} and Rimm, \{David L.\} and Chuang, \{Jeffrey H.\} and Emily Reisenbichler and Kourosh Zarringhalam",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive licence to United States \& Canadian Academy of Pathology.",

year = "2022",

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doi = "10.1038/s41379-021-00911-w",

language = "English",

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T1 - Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer

AU - Farahmand, Saman

AU - Fernandez, Aileen I.

AU - Ahmed, Fahad Shabbir

AU - Rimm, David L.

AU - Chuang, Jeffrey H.

AU - Reisenbichler, Emily

AU - Zarringhalam, Kourosh

PY - 2022/1

Y1 - 2022/1

UR - https://www.scopus.com/pages/publications/85114621294

UR - https://www.scopus.com/pages/publications/85114621294#tab=citedBy

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DO - 10.1038/s41379-021-00911-w

M3 - Article

C2 - 34493825

AN - SCOPUS:85114621294

SN - 0893-3952

VL - 35

SP - 44

EP - 51

JO - Modern Pathology

JF - Modern Pathology

IS - 1

ER -

Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer

ASJC Scopus Subject Areas

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