%0 Journal Article %1 journals/cmig/ChenGSAY19 %A Chen, Pingjun %A Gao, Linlin %A Shi, Xiaoshuang %A Allen, Kyle %A Yang, Lin %D 2019 %J Comput. Medical Imaging Graph. %K dblp %P 84-92 %T Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss. %U http://dblp.uni-trier.de/db/journals/cmig/cmig75.html#ChenGSAY19 %V 75

@article{journals/cmig/ChenGSAY19, added-at = {2020-05-30T00:00:00.000+0200}, author = {Chen, Pingjun and Gao, Linlin and Shi, Xiaoshuang and Allen, Kyle and Yang, Lin}, biburl = {https://www.bibsonomy.org/bibtex/2df6e8b105d88d9a0f2f7f05f474a5332/dblp}, ee = {https://www.wikidata.org/entity/Q93015485}, interhash = {19f5643fc9e15789932bc7283f99fbb1}, intrahash = {df6e8b105d88d9a0f2f7f05f474a5332}, journal = {Comput. Medical Imaging Graph.}, keywords = {dblp}, pages = {84-92}, timestamp = {2020-06-02T11:45:58.000+0200}, title = {Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss.}, url = {http://dblp.uni-trier.de/db/journals/cmig/cmig75.html#ChenGSAY19}, volume = 75, year = 2019 }