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%0 Conference Paper
%1 conf/idsta/AzconaMS20
%A Azcona, David
%A McGuinness, Kevin
%A Smeaton, Alan F.
%B IDSTA
%D 2020
%I IEEE
%K dblp
%P 149-155
%T A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset.
%U http://dblp.uni-trier.de/db/conf/idsta/idsta2020.html#AzconaMS20
%@ 978-1-7281-8376-3
@inproceedings{conf/idsta/AzconaMS20,
added-at = {2022-01-03T00:00:00.000+0100},
author = {Azcona, David and McGuinness, Kevin and Smeaton, Alan F.},
biburl = {https://www.bibsonomy.org/bibtex/2b655292433f1af34ee934f6a728b24b2/dblp},
booktitle = {IDSTA},
crossref = {conf/idsta/2020},
ee = {https://doi.org/10.1109/IDSTA50958.2020.9264030},
interhash = {e2e93862431ed16b34ef0e8265f51a35},
intrahash = {b655292433f1af34ee934f6a728b24b2},
isbn = {978-1-7281-8376-3},
keywords = {dblp},
pages = {149-155},
publisher = {IEEE},
timestamp = {2024-04-09T11:51:34.000+0200},
title = {A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset.},
url = {http://dblp.uni-trier.de/db/conf/idsta/idsta2020.html#AzconaMS20},
year = 2020
}
