Contributions to Proceedings:
M. Pfister, K. Schützenberger, J. Schäfer, H. Stegmann, M. Gröschl, R.M. Werkmeister:
"Identifying Diabetes in Mice using Optical Coherence Tomography Angiography Images of the Ears and Deep Learning";
in: "Proc. OSA Biophotonics Congress: Biomedical Optics, April 20 - 23, 2020",
OSA Virtual Meeting,
2020,
1
- 2.
English 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.OCIS codes: (100.4996) Pattern recognition, neural networks, (170.4500) Optical coherence tomography, (170.1870) Dermatology.
Electronic version of the publication:
https://publik.tuwien.ac.at/files/publik_292485.pdf
Created from the Publication Database of the Vienna University of Technology.