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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Detalles Bibliográficos
Autores principales: Bressem, Keno K., Adams, Lisa C., Erxleben, Christoph, Hamm, Bernd, Niehues, Stefan M., Vahldiek, Janis L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423963/
https://www.ncbi.nlm.nih.gov/pubmed/32788602
http://dx.doi.org/10.1038/s41598-020-70479-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423963/
https://www.ncbi.nlm.nih.gov/pubmed/32788602
http://dx.doi.org/10.1038/s41598-020-70479-z

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