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...
Main Authors: | Gröschl, M. (Author), Hohenadl, C. (Author), Pfister, M. (Author), Schäfer, B.J (Author), Schmetterer, L. (Author), Schützenberger, K. (Author), Stegmann, H. (Author), Werkmeister, R.M (Author) |
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Format: | Article |
Language: | English |
Published: |
John Wiley and Sons Inc
2021
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Subjects: | |
Online Access: | View Fulltext in Publisher |
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