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

The treatment of patients with ERBB2 (HER2)-positive breast cancer with anti-ERBB2 therapy is based on the detection of ERBB2 gene amplification or protein overexpression. Machine learning (ML) algorithms can predict the amplification of ERBB2 based on tumor morphological features, but it is not kno...

Popoln opis

Shranjeno v:
Bibliografske podrobnosti
izdano v:Sci Rep
Main Authors: Bychkov, Dmitrii, Linder, Nina, Tiulpin, Aleksei, Kücükel, Hakan, Lundin, Mikael, Nordling, Stig, Sihto, Harri, Isola, Jorma, Lehtimäki, Tiina, Kellokumpu-Lehtinen, Pirkko-Liisa, von Smitten, Karl, Joensuu, Heikki, Lundin, Johan
Format: Artigo
Jezik:Inglês
Izdano: Nature Publishing Group UK 2021
Teme:
Article
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7890057/
https://ncbi.nlm.nih.gov/pubmed/33597560
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-83102-6
Oznake: Označite
Brez oznak, prvi označite!

Podobne knjige/članki