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

Dmitrii Bychkov; Nina Linder; Aleksei Tiulpin; Hakan Kücükel; Mikael Lundin; Stig Nordling; Harri Sihto; Jorma Isola; Tiina Lehtimäki; Pirkko-Liisa Kellokumpu-Lehtinen; Karl von Smitten; Heikki Joensuu; Johan Lundin

doi:10.1038/s41598-021-83102-6

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

Dmitrii Bychkov, Nina Linder, Aleksei Tiulpin, Hakan Kücükel, Mikael Lundin, Stig Nordling, Harri Sihto, Jorma Isola, Tiina Lehtimäki, Pirkko-Liisa Kellokumpu-Lehtinen, Karl von Smitten, Heikki Joensuu, Johan Lundin

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

Original language	English
Article number	4037
Journal	Scientific Reports
Volume	11
Issue number	1
Number of pages	10
ISSN	2045-2322
DOIs	https://doi.org/10.1038/s41598-021-83102-6
Publication status	Published - 17 Feb 2021
MoE publication type	A1 Journal article-refereed

Fields of Science

3122 Cancers

Access to Document

10.1038/s41598-021-83102-6

s41598-021-83102-6Final published version, 2.22 MBLicence: CC BY

Cite this

Bychkov, D., Linder, N., Tiulpin, A., Kücükel, H., Lundin, M., Nordling, S., Sihto, H., Isola, J., Lehtimäki, T., Kellokumpu-Lehtinen, P.-L., von Smitten, K., Joensuu, H., & Lundin, J. (2021). Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy. Scientific Reports, 11(1), Article 4037. https://doi.org/10.1038/s41598-021-83102-6

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keywords = "3122 Cancers",

author = "Dmitrii Bychkov and Nina Linder and Aleksei Tiulpin and Hakan K{\"u}c{\"u}kel and Mikael Lundin and Stig Nordling and Harri Sihto and Jorma Isola and Tiina Lehtim{\"a}ki and Pirkko-Liisa Kellokumpu-Lehtinen and {von Smitten}, Karl and Heikki Joensuu and Johan Lundin",

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Bychkov, D , Linder, N, Tiulpin, A, Kücükel, H, Lundin, M, Nordling, S, Sihto, H, Isola, J, Lehtimäki, T, Kellokumpu-Lehtinen, P-L, von Smitten, K, Joensuu, H & Lundin, J 2021, 'Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy', Scientific Reports, vol. 11, no. 1, 4037. https://doi.org/10.1038/s41598-021-83102-6

TY - JOUR

T1 - Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy

AU - Bychkov, Dmitrii

AU - Linder, Nina

AU - Tiulpin, Aleksei

AU - Kücükel, Hakan

AU - Lundin, Mikael

AU - Nordling, Stig

AU - Sihto, Harri

AU - Isola, Jorma

AU - Lehtimäki, Tiina

AU - Kellokumpu-Lehtinen, Pirkko-Liisa

AU - von Smitten, Karl

AU - Joensuu, Heikki

AU - Lundin, Johan

PY - 2021/2/17

Y1 - 2021/2/17

KW - 3122 Cancers

U2 - 10.1038/s41598-021-83102-6

DO - 10.1038/s41598-021-83102-6

M3 - Article

SN - 2045-2322

VL - 11

JO - Scientific Reports

JF - Scientific Reports

IS - 1

M1 - 4037

ER -