%0 Journal Article %1 journals/cbm/ChoPLLSK21 %A Cho, Yongwon %A Park, BeomHee %A Lee, Sang Min %A Lee, Kyung Hee %A Seo, Joon Beom %A Kim, Namkug %D 2021 %J Comput. Biol. Medicine %K dblp %P 104750 %T Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs. %U http://dblp.uni-trier.de/db/journals/cbm/cbm136.html#ChoPLLSK21 %V 136

@article{journals/cbm/ChoPLLSK21, added-at = {2023-11-12T00:00:00.000+0100}, author = {Cho, Yongwon and Park, BeomHee and Lee, Sang Min and Lee, Kyung Hee and Seo, Joon Beom and Kim, Namkug}, biburl = {https://www.bibsonomy.org/bibtex/242c0bfa88982dbd8467c60dbf5e0f0c9/dblp}, ee = {https://doi.org/10.1016/j.compbiomed.2021.104750}, interhash = {3aa6a562c7c7292fed7334e1eb863dd5}, intrahash = {42c0bfa88982dbd8467c60dbf5e0f0c9}, journal = {Comput. Biol. Medicine}, keywords = {dblp}, pages = 104750, timestamp = {2024-04-09T02:42:26.000+0200}, title = {Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs.}, url = {http://dblp.uni-trier.de/db/journals/cbm/cbm136.html#ChoPLLSK21}, volume = 136, year = 2021 }