Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph

Image-based teleconsultation using smartphones has become increasingly popular. In parallel, deep learning algorithms have been developed to detect radiological findings in chest X-rays (CXRs). However, the feasibility of using smartphones to automate this process has yet to be evaluated. This study...

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Detalles Bibliográficos
Autores principales: Kuo, Po-Chih, Tsai, Cheng Che, López, Diego M., Karargyris, Alexandros, Pollard, Tom J., Johnson, Alistair E. W., Celi, Leo Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884693/
https://www.ncbi.nlm.nih.gov/pubmed/33589700
http://dx.doi.org/10.1038/s41746-021-00393-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884693/
https://www.ncbi.nlm.nih.gov/pubmed/33589700
http://dx.doi.org/10.1038/s41746-021-00393-9

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