Artificial Intelligence to Detect Meibomian Gland Dysfunction From in-vivo Laser Confocal Microscopy

Background: In recent years, deep learning has been widely used in a variety of ophthalmic diseases. As a common ophthalmic disease, meibomian gland dysfunction (MGD) has a unique phenotype in in-vivo laser confocal microscope imaging (VLCMI). The purpose of our study was to investigate a deep learn...

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Detalles Bibliográficos
Autores principales: Zhang, Ye-Ye, Zhao, Hui, Lin, Jin-Yan, Wu, Shi-Nan, Liu, Xi-Wang, Zhang, Hong-Dan, Shao, Yi, Yang, Wei-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655877/
https://www.ncbi.nlm.nih.gov/pubmed/34901091
http://dx.doi.org/10.3389/fmed.2021.774344

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655877/
https://www.ncbi.nlm.nih.gov/pubmed/34901091
http://dx.doi.org/10.3389/fmed.2021.774344

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