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Comparing different deep learning architectures for classification of chest radiographs

Chest radiographs are among the most frequently acquired images in radiology and are often the subject of computer vision research. However, most of the models used to classify chest radiographs are derived from openly available deep neural networks, trained on large image datasets. These datasets d...

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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Bressem, Keno K., Adams, Lisa C., Erxleben, Christoph, Hamm, Bernd, Niehues, Stefan M., Vahldiek, Janis L.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7423963/
https://ncbi.nlm.nih.gov/pubmed/32788602
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-70479-z
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