Generating retinal flow maps from structural optical coherence tomography with artificial intelligence

Despite advances in artificial intelligence (AI), its application in medical imaging has been burdened and limited by expert-generated labels. We used images from optical coherence tomography angiography (OCTA), a relatively new imaging modality that measures retinal blood flow, to train an AI algor...

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Detalles Bibliográficos
Autores principales: Lee, Cecilia S., Tyring, Ariel J., Wu, Yue, Xiao, Sa, Rokem, Ariel S., DeRuyter, Nicolaas P., Zhang, Qinqin, Tufail, Adnan, Wang, Ruikang K., Lee, Aaron Y.
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/PMC6450899/
https://www.ncbi.nlm.nih.gov/pubmed/30952891
http://dx.doi.org/10.1038/s41598-019-42042-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6450899/
https://www.ncbi.nlm.nih.gov/pubmed/30952891
http://dx.doi.org/10.1038/s41598-019-42042-y

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