Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping.
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%0 Conference Paper
%1 conf/midl/AbbetSFDZBT21
%A Abbet, Christian
%A Studer, Linda
%A Fischer, Andreas
%A Dawson, Heather
%A Zlobec, Inti
%A Bozorgtabar, Behzad
%A Thiran, Jean-Philippe
%B MIDL
%D 2021
%E Heinrich, Mattias P.
%E Dou, Qi
%E de Bruijne, Marleen
%E Lellmann, Jan
%E Schlaefer, Alexander
%E Ernst, Floris
%I PMLR
%K dblp
%P 5-21
%T Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping.
%U http://dblp.uni-trier.de/db/conf/midl/midl2021.html#AbbetSFDZBT21
%V 143
@inproceedings{conf/midl/AbbetSFDZBT21,
added-at = {2022-05-13T00:00:00.000+0200},
author = {Abbet, Christian and Studer, Linda and Fischer, Andreas and Dawson, Heather and Zlobec, Inti and Bozorgtabar, Behzad and Thiran, Jean-Philippe},
biburl = {https://www.bibsonomy.org/bibtex/287630093f09caac0c270718b4423fedf/dblp},
booktitle = {MIDL},
crossref = {conf/midl/2021},
editor = {Heinrich, Mattias P. and Dou, Qi and de Bruijne, Marleen and Lellmann, Jan and Schlaefer, Alexander and Ernst, Floris},
ee = {https://proceedings.mlr.press/v143/abbet21a.html},
interhash = {faa378a3f07ab95eb81b8247d20f2bdf},
intrahash = {87630093f09caac0c270718b4423fedf},
keywords = {dblp},
pages = {5-21},
publisher = {PMLR},
series = {Proceedings of Machine Learning Research},
timestamp = {2024-04-09T15:06:17.000+0200},
title = {Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping.},
url = {http://dblp.uni-trier.de/db/conf/midl/midl2021.html#AbbetSFDZBT21},
volume = 143,
year = 2021
}