%0 Journal Article %1 journals/peerj-cs/AlzubaidiDAIASF21 %A Alzubaidi, Laith %A Duan, Ye %A Al-Dujaili, Ayad Q. %A Ibraheem, Ibraheem Kasim %A Alkenani, Ahmed H. %A Santamaría, José %A Fadhel, Mohammed A. %A Al-Shamma, Omran %A Zhang, Jinglan %D 2021 %J PeerJ Comput. Sci. %K dblp %P e715 %T Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study. %U http://dblp.uni-trier.de/db/journals/peerj-cs/peerj-cs7.html#AlzubaidiDAIASF21 %V 7

@article{journals/peerj-cs/AlzubaidiDAIASF21, added-at = {2024-02-05T00:00:00.000+0100}, author = {Alzubaidi, Laith and Duan, Ye and Al-Dujaili, Ayad Q. and Ibraheem, Ibraheem Kasim and Alkenani, Ahmed H. and Santamaría, José and Fadhel, Mohammed A. and Al-Shamma, Omran and Zhang, Jinglan}, biburl = {https://www.bibsonomy.org/bibtex/29cdf5b4911c4d0832fa831599f465d55/dblp}, ee = {https://www.wikidata.org/entity/Q110949683}, interhash = {9b17ba2f397cd899618b264a7c7a598d}, intrahash = {9cdf5b4911c4d0832fa831599f465d55}, journal = {PeerJ Comput. Sci.}, keywords = {dblp}, pages = {e715}, timestamp = {2024-04-08T17:38:31.000+0200}, title = {Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study.}, url = {http://dblp.uni-trier.de/db/journals/peerj-cs/peerj-cs7.html#AlzubaidiDAIASF21}, volume = 7, year = 2021 }