Laëtitia Launet, Rocío del Amor, Adrián Colomer, Andrés Mosquera-Zamudio, Anaïs Moscardó, Carlos Monteagudo, Zhiming Zhao, Valery Naranjo. Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis. In Hujun Yin, David Camacho, Peter Tiño, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2022 - 23rd International Conference, IDEAL 2022, Manchester, UK, November 24-26, 2022, Proceedings. Volume 13756 of Lecture Notes in Computer Science, pages 64-72, Springer, 2022. [doi]
@inproceedings{LaunetACMMMZN22,
title = {Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis},
author = {Laëtitia Launet and Rocío del Amor and Adrián Colomer and Andrés Mosquera-Zamudio and Anaïs Moscardó and Carlos Monteagudo and Zhiming Zhao and Valery Naranjo},
year = {2022},
doi = {10.1007/978-3-031-21753-1_7},
url = {https://doi.org/10.1007/978-3-031-21753-1_7},
researchr = {https://researchr.org/publication/LaunetACMMMZN22},
cites = {0},
citedby = {0},
pages = {64-72},
booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2022 - 23rd International Conference, IDEAL 2022, Manchester, UK, November 24-26, 2022, Proceedings},
editor = {Hujun Yin and David Camacho and Peter Tiño},
volume = {13756},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-21753-1},
}