An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study

AIMS/HYPOTHESIS: Corneal confocal microscopy is a rapid non-invasive ophthalmic imaging technique that identifies peripheral and central neurodegenerative disease. Quantification of corneal sub-basal nerve plexus morphology, however, requires either time-consuming manual annotation or a less-sensiti...

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Detalles Bibliográficos
Autores principales: Williams, Bryan M., Borroni, Davide, Liu, Rongjun, Zhao, Yitian, Zhang, Jiong, Lim, Jonathan, Ma, Baikai, Romano, Vito, Qi, Hong, Ferdousi, Maryam, Petropoulos, Ioannis N., Ponirakis, Georgios, Kaye, Stephen, Malik, Rayaz A., Alam, Uazman, Zheng, Yalin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6946763/
https://www.ncbi.nlm.nih.gov/pubmed/31720728
http://dx.doi.org/10.1007/s00125-019-05023-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6946763/
https://www.ncbi.nlm.nih.gov/pubmed/31720728
http://dx.doi.org/10.1007/s00125-019-05023-4

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