%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 }