Deep learning differentiates between healthy and diabetic mouse ears from optical coherence tomography angiography images

We trained a deep learning algorithm to use skin optical coherence tomography (OCT) angiograms to differentiate between healthy and type 2 diabetic mice. OCT angiograms were acquired with a custom‐built OCT system based on an akinetic swept laser at 1322 nm with a lateral resolution of ∼13 μm and us...

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Detalles Bibliográficos
Autores principales: Pfister, Martin, Stegmann, Hannes, Schützenberger, Kornelia, Schäfer, Bhavapriya Jasmin, Hohenadl, Christine, Schmetterer, Leopold, Gröschl, Martin, Werkmeister, René M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451751/
https://www.ncbi.nlm.nih.gov/pubmed/33638189
http://dx.doi.org/10.1111/nyas.14582

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451751/
https://www.ncbi.nlm.nih.gov/pubmed/33638189
http://dx.doi.org/10.1111/nyas.14582

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