%0 Conference Paper %1 conf/iccvw/MariniAOMM21 %A Marini, Niccolò %A Atzori, Manfredo %A Otálora, Sebastian %A Marchand-Maillet, Stéphane %A Müller, Henning %B ICCVW %D 2021 %I IEEE %K dblp %P 601-610 %T H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. %U http://dblp.uni-trier.de/db/conf/iccvw/iccvw2021.html#MariniAOMM21 %@ 978-1-6654-0191-3

@inproceedings{conf/iccvw/MariniAOMM21, added-at = {2024-02-05T00:00:00.000+0100}, author = {Marini, Niccolò and Atzori, Manfredo and Otálora, Sebastian and Marchand-Maillet, Stéphane and Müller, Henning}, biburl = {https://www.bibsonomy.org/bibtex/2554baf27b4cdbb566c37aa7519e00e5c/dblp}, booktitle = {ICCVW}, crossref = {conf/iccvw/2021}, ee = {https://doi.org/10.1109/ICCVW54120.2021.00073}, interhash = {7eb0c168196a3ea9278a10b9593aa6e5}, intrahash = {554baf27b4cdbb566c37aa7519e00e5c}, isbn = {978-1-6654-0191-3}, keywords = {dblp}, pages = {601-610}, publisher = {IEEE}, timestamp = {2024-04-09T21:21:21.000+0200}, title = {H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression.}, url = {http://dblp.uni-trier.de/db/conf/iccvw/iccvw2021.html#MariniAOMM21}, year = 2021 }