Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 juppet2021
%A Juppet, Quentin
%A De Martino, Fabio
%A Marcandalli, Elodie
%A Weigert, Martin
%A Burri, Olivier
%A Unser, Michael
%A Brisken, Cathrin
%A Sage, Daniel
%D 2021
%I Springer
%J Journal of Mammary Gland Biology and Neoplasia
%K imported
%R 10.1007/s10911-021-09485-4
%T Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features
@article{juppet2021,
added-at = {2025-01-30T09:24:38.000+0100},
author = {Juppet, Quentin and De Martino, Fabio and Marcandalli, Elodie and Weigert, Martin and Burri, Olivier and Unser, Michael and Brisken, Cathrin and Sage, Daniel},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2aa13c3a8829b6cfe96e7dfeead2ff69a/mawe985g},
doi = {10.1007/s10911-021-09485-4},
interhash = {3a20a731611389cd95eb962142ffbcbe},
intrahash = {aa13c3a8829b6cfe96e7dfeead2ff69a},
journal = {Journal of Mammary Gland Biology and Neoplasia },
keywords = {imported},
publisher = {Springer},
timestamp = {2025-01-30T09:24:38.000+0100},
title = {Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features},
year = 2021
}
