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]
@inproceedings{AbbetSFDZBT21,
title = {Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping},
author = {Christian Abbet and Linda Studer and Andreas Fischer and Heather Dawson and Inti Zlobec and Behzad Bozorgtabar and Jean-Philippe Thiran},
year = {2021},
url = {https://proceedings.mlr.press/v143/abbet21a.html},
researchr = {https://researchr.org/publication/AbbetSFDZBT21},
cites = {0},
citedby = {0},
pages = {5-21},
booktitle = {Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany},
editor = {Mattias P. Heinrich and Qi Dou and Marleen de Bruijne and Jan Lellmann and Alexander Schlaefer and Floris Ernst},
volume = {143},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}