Meibography Phenotyping and Classification From Unsupervised Discriminative Feature Learning

PURPOSE: The purpose of this study was to develop an unsupervised feature learning approach that automatically measures Meibomian gland (MG) atrophy severity from meibography images and discovers subtle relationships between meibography images according to visual similarity. METHODS: One of the late...

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Detalles Bibliográficos
Autores principales: Yeh, Chun-Hsiao, Yu, Stella X., Lin, Meng C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873493/
https://www.ncbi.nlm.nih.gov/pubmed/34003889
http://dx.doi.org/10.1167/tvst.10.2.4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873493/
https://www.ncbi.nlm.nih.gov/pubmed/34003889
http://dx.doi.org/10.1167/tvst.10.2.4

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