Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study

Transfer learning (TL) has been widely utilized to address the lack of training data for deep learning models. Specifically, one of the most popular uses of TL has been for the pre-trained models of the ImageNet dataset. Nevertheless, although these pre-trained models have shown an effective perform...

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Detalles Bibliográficos
Autores principales: Alzubaidi, Laith, Duan, Ye, Al-Dujaili, Ayad, Ibraheem, Ibraheem Kasim, Alkenani, Ahmed H., Santamaría, Jose, Fadhel, Mohammed A., Al-Shamma, Omran, Zhang, Jinglan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530098/
https://www.ncbi.nlm.nih.gov/pubmed/34722871
http://dx.doi.org/10.7717/peerj-cs.715

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530098/
https://www.ncbi.nlm.nih.gov/pubmed/34722871
http://dx.doi.org/10.7717/peerj-cs.715

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