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

Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review

Originalspråk	engelska
Artikelnummer	4037
Tidskrift	Scientific Reports
Volym	11
Nummer	1
Antal sidor	10
ISSN	2045-2322
DOI	https://doi.org/10.1038/s41598-021-83102-6
Status	Publicerad - 17 feb. 2021
MoE-publikationstyp	A1 Tidskriftsartikel-refererad

Vetenskapsgrenar

3122 Cancersjukdomar

Åtkomst av dokument

10.1038/s41598-021-83102-6

s41598-021-83102-6Slutlig publicerad version, 2,22 MBLicens: CC BY

Citera det här

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), [4037]. https://doi.org/10.1038/s41598-021-83102-6

@article{2c78eab400dd4a03a476f791caa2ff62,

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

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",

year = "2021",

month = feb,

day = "17",

doi = "10.1038/s41598-021-83102-6",

language = "English",

volume = "11",

journal = "Scientific Reports",

issn = "2045-2322",

publisher = "Nature Publishing Group",

number = "1",

}

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, nr. 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

VL - 11

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

IS - 1

M1 - 4037

ER -