Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis

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]

Abstract

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