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: | , , , , , , , |
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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 |