Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes



Preston, Frank G, Meng, Yanda ORCID: 0000-0001-7344-2174, Burgess, Jamie ORCID: 0000-0002-7165-6918, Ferdousi, Maryam, Azmi, Shazli, Petropoulos, Ioannis N, Kaye, Stephen ORCID: 0000-0003-0390-0592, Malik, Rayaz A, Zheng, Yalin ORCID: 0000-0002-7873-0922 and Alam, Uazman ORCID: 0000-0002-3190-1122
(2021) Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes. DIABETOLOGIA.

Access the full-text of this item by clicking on the Open Access link.
Item Type: Article
Uncontrolled Keywords: Artificial intelligence, Convolutional neural network, Corneal confocal microscopy, Deep learning algorithm, Diabetic neuropathy, Image segmentation, Ophthalmic imaging, Small nerve fibres
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Life Courses and Medical Sciences
Depositing User: Symplectic Admin
Date Deposited: 06 Dec 2021 08:20
Last Modified: 09 Aug 2022 22:10
DOI: 10.1007/s00125-021-05617-x
Open Access URL: https://link.springer.com/article/10.1007%2Fs00125...
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3144516