Cargando…
Artificial Intelligence Based Analysis of Corneal Confocal Microscopy Images for Diagnosing Peripheral Neuropathy: A Binary Classification Model
Diabetic peripheral neuropathy (DPN) is the leading cause of neuropathy worldwide resulting in excess morbidity and mortality. We aimed to develop an artificial intelligence deep learning algorithm to classify the presence or absence of peripheral neuropathy (PN) in participants with diabetes or pre...
Autores principales: | Meng, Yanda, Preston, Frank George, Ferdousi, Maryam, Azmi, Shazli, Petropoulos, Ioannis Nikolaos, Kaye, Stephen, Malik, Rayaz Ahmed, Alam, Uazman, Zheng, Yalin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963824/ https://www.ncbi.nlm.nih.gov/pubmed/36835819 http://dx.doi.org/10.3390/jcm12041284 |
Ejemplares similares
-
Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes
por: Preston, Frank G., et al.
Publicado: (2021) -
Corneal confocal microscopy identifies small fibre damage and progression of diabetic neuropathy
por: Dhage, Shaishav, et al.
Publicado: (2021) -
Corneal confocal microscopy compared with quantitative sensory testing and nerve conduction for diagnosing and stratifying the severity of diabetic peripheral neuropathy
por: Ferdousi, Maryam, et al.
Publicado: (2020) -
Corneal Confocal Microscopy Detects Small Fibre Neuropathy in Patients with Upper Gastrointestinal Cancer and Nerve Regeneration in Chemotherapy Induced Peripheral Neuropathy
por: Ferdousi, Maryam, et al.
Publicado: (2015) -
Corneal Confocal Microscopy Identifies People with Type 1 Diabetes with More Rapid Corneal Nerve Fibre Loss and Progression of Neuropathy
por: Alam, Uazman, et al.
Publicado: (2022)