%0 Conference Paper %1 conf/ideal/LaunetACMMMZN22 %A Launet, Laëtitia %A del Amor, Rocío %A Colomer, Adrián %A Mosquera-Zamudio, Andrés %A Moscardó, Anaïs %A Monteagudo, Carlos %A Zhao, Zhiming %A Naranjo, Valery %B IDEAL %D 2022 %E Yin, Hujun %E Camacho, David %E Tiño, Peter %I Springer %K dblp %P 64-72 %T Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis. %U http://dblp.uni-trier.de/db/conf/ideal/ideal2022.html#LaunetACMMMZN22 %V 13756 %@ 978-3-031-21753-1

@inproceedings{conf/ideal/LaunetACMMMZN22, added-at = {2022-11-22T00:00:00.000+0100}, author = {Launet, Laëtitia and del Amor, Rocío and Colomer, Adrián and Mosquera-Zamudio, Andrés and Moscardó, Anaïs and Monteagudo, Carlos and Zhao, Zhiming and Naranjo, Valery}, biburl = {https://www.bibsonomy.org/bibtex/2dd35ea284ca8ce3a3fc228561cf6c7ab/dblp}, booktitle = {IDEAL}, crossref = {conf/ideal/2022}, editor = {Yin, Hujun and Camacho, David and Tiño, Peter}, ee = {https://doi.org/10.1007/978-3-031-21753-1_7}, interhash = {b90d8ae31282d51de6d31ecd6a3f247e}, intrahash = {dd35ea284ca8ce3a3fc228561cf6c7ab}, isbn = {978-3-031-21753-1}, keywords = {dblp}, pages = {64-72}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T13:36:00.000+0200}, title = {Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis.}, url = {http://dblp.uni-trier.de/db/conf/ideal/ideal2022.html#LaunetACMMMZN22}, volume = 13756, year = 2022 }