Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/miccai/HoASVJHF20
%A Ho, David Joon
%A Agaram, Narasimhan P.
%A Schüffler, Peter J.
%A Vanderbilt, Chad M.
%A Jean, Marc-Henri
%A Hameed, Meera R.
%A Fuchs, Thomas J.
%B MICCAI (5)
%D 2020
%E Martel, Anne L.
%E Abolmaesumi, Purang
%E Stoyanov, Danail
%E Mateus, Diana
%E Zuluaga, Maria A.
%E Zhou, S. Kevin
%E Racoceanu, Daniel
%E Joskowicz, Leo
%I Springer
%K dblp
%P 540-549
%T Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment.
%U http://dblp.uni-trier.de/db/conf/miccai/miccai2020-5.html#HoASVJHF20
%V 12265
%@ 978-3-030-59722-1
@inproceedings{conf/miccai/HoASVJHF20,
added-at = {2020-12-29T00:00:00.000+0100},
author = {Ho, David Joon and Agaram, Narasimhan P. and Schüffler, Peter J. and Vanderbilt, Chad M. and Jean, Marc-Henri and Hameed, Meera R. and Fuchs, Thomas J.},
biburl = {https://www.bibsonomy.org/bibtex/288cdaa4b08a2407e13694dcf4283ebd2/dblp},
booktitle = {MICCAI (5)},
crossref = {conf/miccai/2020-5},
editor = {Martel, Anne L. and Abolmaesumi, Purang and Stoyanov, Danail and Mateus, Diana and Zuluaga, Maria A. and Zhou, S. Kevin and Racoceanu, Daniel and Joskowicz, Leo},
ee = {https://doi.org/10.1007/978-3-030-59722-1_52},
interhash = {7ee66745060534e0b7f200ead988088f},
intrahash = {88cdaa4b08a2407e13694dcf4283ebd2},
isbn = {978-3-030-59722-1},
keywords = {dblp},
pages = {540-549},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-04-10T09:30:55.000+0200},
title = {Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment.},
url = {http://dblp.uni-trier.de/db/conf/miccai/miccai2020-5.html#HoASVJHF20},
volume = 12265,
year = 2020
}