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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...
Autores principales: | Zhang, Ye-Ye, Zhao, Hui, Lin, Jin-Yan, Wu, Shi-Nan, Liu, Xi-Wang, Zhang, Hong-Dan, Shao, Yi, Yang, Wei-Feng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
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 |
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