A deep learning system for quantitative assessment of microvascular abnormalities in nailfold capillary images

OBJECTIVES: Nailfold capillaroscopy is key to timely diagnosis of SSc, but is often not used in rheumatology clinics because the images are difficult to interpret. We aimed to develop and validate a fully automated image analysis system to fill this gap. METHODS: We mimicked the image interpretation...

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Detalles Bibliográficos
Autores principales: Bharathi, Praveen Gurunath, Berks, Michael, Dinsdale, Graham, Murray, Andrea, Manning, Joanne, Wilkinson, Sarah, Cutolo, Maurizio, Smith, Vanessa, Herrick, Ariane L, Taylor, Chris J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Basic Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234192/
https://www.ncbi.nlm.nih.gov/pubmed/36651676
http://dx.doi.org/10.1093/rheumatology/kead026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234192/
https://www.ncbi.nlm.nih.gov/pubmed/36651676
http://dx.doi.org/10.1093/rheumatology/kead026

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