Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy

scientific article published on 17 February 2021

Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1038/S41598-021-83102-6

P2093author name stringJohan Lundin
Mikael Lundin
Nina Linder
Pirkko-Liisa Kellokumpu-Lehtinen
Stig Nordling
Jorma Isola
Heikki Joensuu
Harri Sihto
Tiina Lehtimäki
Karl von Smitten
Aleksei Tiulpin
Dmitrii Bychkov
Hakan Kücükel
P4510describes a project that usesImageNetQ24901201
StatsmodelsQ25304899
PyTorchQ47509047
P433issue1
P407language of work or nameEnglishQ1860
P577publication date2021-02-17
P1433published inScientific ReportsQ2261792
P1476titleDeep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy
P478volume11

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