Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping

Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran. Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping. In Mattias P. Heinrich, Qi Dou, Marleen de Bruijne, Jan Lellmann, Alexander Schlaefer, Floris Ernst, editors, Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany. Volume 143 of Proceedings of Machine Learning Research, pages 5-21, PMLR, 2021. [doi]

Authors

Christian Abbet

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Linda Studer

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Andreas Fischer

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Heather Dawson

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Inti Zlobec

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Behzad Bozorgtabar

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Jean-Philippe Thiran

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