%0 Conference Paper %1 schmell2020 %A Schmell, Sarah %A Zakrzewski, Falk %A de Back, Walter %A Weigert, Martin %A Schmidt, Uwe %A Wenke, Torsten %A Zeugner, Silke %A Mantey, Robert %A Sperling, Christian %A Roeder, Ingo %A Hoenscheid, Pia %A Aust, Daniela %A Baretton, Gustavo %B Medical Imaging with Deep Learning (MIDL) %D 2020 %K imported %T An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics

@inproceedings{schmell2020, added-at = {2025-01-30T09:24:38.000+0100}, author = {Schmell, Sarah and Zakrzewski, Falk and de Back, Walter and Weigert, Martin and Schmidt, Uwe and Wenke, Torsten and Zeugner, Silke and Mantey, Robert and Sperling, Christian and Roeder, Ingo and Hoenscheid, Pia and Aust, Daniela and Baretton, Gustavo}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/248e2e5b5fcee643a9ac87c5ef17423b9/mawe985g}, booktitle = {Medical Imaging with Deep Learning (MIDL)}, interhash = {aa835a3e97cbb2e8b4d09e7909ffd3bf}, intrahash = {48e2e5b5fcee643a9ac87c5ef17423b9}, keywords = {imported}, timestamp = {2025-01-30T09:24:38.000+0100}, title = {An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics}, year = 2020 }