An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study

被引：0
|
作者：
Bryan M. Williams
Davide Borroni
Rongjun Liu
Yitian Zhao
Jiong Zhang
Jonathan Lim
Baikai Ma
Vito Romano
Hong Qi
Maryam Ferdousi
Ioannis N. Petropoulos
Georgios Ponirakis
Stephen Kaye
Rayaz A. Malik
Uazman Alam
Yalin Zheng
机构：
[1] University of Liverpool,Department of Eye and Vision Science
[2] Royal Liverpool University Hospital,St Paul’s Eye Unit
[3] Lancaster University,Data Science Institute
[4] Riga Stradins University,Department of Ophthalmology
[5] Peking University Third Hospital,Department of Ophthalmology
[6] Chinese Academy of Sciences,Cixi Institute of Biomedical Engineering, Ningbo Institute of Industrial Technology
[7] University of Southern California,Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine
[8] University Hospital Aintree,Department of Endocrinology and Diabetes
[9] Weill Cornell Medicine – Qatar,Diabetes and Neuropathy Research, Department of Eye and Vision Sciences and Pain Research Institute, Institute of Ageing and Chronic Disease
[10] University of Liverpool and Aintree University Hospital NHS Foundation Trust,Department of Diabetes and Endocrinology
[11] Royal Liverpool and Broadgreen University NHS Hospital Trust,Division of Endocrinology, Diabetes and Gastroenterology
[12] University of Manchester,undefined
来源：
Diabetologia | 2020年 / 63卷
关键词：
Corneal confocal microscopy; Corneal nerve; Deep learning; Diabetic neuropathy; Image processing and analysis; Image segmentation; Ophthalmic imaging; Small nerve fibres;
D O I：
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摘要：
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页码：419 / 430
页数：11
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