%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 }