Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification

The increased availability of labeled X-ray image archives (e.g. ChestX-ray14 dataset) has triggered a growing interest in deep learning techniques. To provide better insight into the different approaches, and their applications to chest X-ray classification, we investigate a powerful network archit...

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Detalles Bibliográficos
Autores principales: Baltruschat, Ivo M., Nickisch, Hannes, Grass, Michael, Knopp, Tobias, Saalbach, Axel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6476887/
https://www.ncbi.nlm.nih.gov/pubmed/31011155
http://dx.doi.org/10.1038/s41598-019-42294-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6476887/
https://www.ncbi.nlm.nih.gov/pubmed/31011155
http://dx.doi.org/10.1038/s41598-019-42294-8

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