Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

Deep learning (DL) has the potential to transform medical diagnostics. However, the diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of DL algorithms to identify pathology in medical imaging. Searches were conducted in Medline and EMBASE up to January 2020. We...

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Detalles Bibliográficos
Autores principales: Aggarwal, Ravi, Sounderajah, Viknesh, Martin, Guy, Ting, Daniel S. W., Karthikesalingam, Alan, King, Dominic, Ashrafian, Hutan, Darzi, Ara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8027892/
https://www.ncbi.nlm.nih.gov/pubmed/33828217
http://dx.doi.org/10.1038/s41746-021-00438-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8027892/
https://www.ncbi.nlm.nih.gov/pubmed/33828217
http://dx.doi.org/10.1038/s41746-021-00438-z

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