Identifying Diabetes in Mice using Optical Coherence Tomography Angiography Images of the Ears and Deep Learning

Abstract

Using optical coherence tomography angiography images from mouse ears, a convolutional neural network successfully recognized diabetes with an accuracy of 0.81 and an area under the curve of 0.90.